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urna
l o
f
E
lect
rica
l a
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Co
m
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r
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ng
in
ee
ring
(
I
J
E
CE
)
Vo
l.
10
,
No
.
1
,
Feb
r
u
ar
y
2020
,
p
p
.
521
~
529
I
SS
N:
2088
-
8708
,
DOI
:
1
0
.
1
1
5
9
1
/
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j
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.
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
0
:
521
-
529
5
22
Ob
s
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t
h
e
t
h
ick
n
e
s
s
o
f
ter
tiar
y
d
en
t
in
to
o
b
tain
th
e
q
u
a
n
ti
tativ
e
v
al
u
e.
C
o
m
p
u
ter
-
aid
ed
in
d
en
tis
tr
y
h
as
alr
ea
d
y
d
ev
elo
p
ed
in
m
an
y
ca
s
es.
J
o
s
e
alr
ea
d
y
u
s
e
s
co
m
p
u
ta
tio
n
i
n
m
o
r
p
h
o
m
e
tr
ic
m
a
n
d
ib
u
la
r
in
d
ex
[
8
].
So
m
e
r
esear
ch
er
s
p
r
o
p
o
s
ed
m
a
n
y
teh
n
iq
u
e
s
t
o
en
h
a
n
ce
r
ad
io
g
r
ap
h
i
m
a
g
e
s
q
u
alit
y
to
ea
s
e
d
iag
n
o
s
i
s
[
9
-
12
]
.
Ho
w
ev
er
,
t
h
e
ter
iar
y
d
en
tin
t
h
ic
k
n
ess
o
p
ti
m
atio
n
h
as
n
’
t b
ee
n
d
o
n
e.
Dig
ital
i
m
ag
e
p
r
o
ce
s
s
i
n
g
tec
h
n
o
lo
g
y
h
as
a
ls
o
b
ee
n
u
s
ed
i
n
ap
p
licatio
n
s
r
elate
d
to
d
i
s
ea
s
e
d
iag
n
o
s
is
an
d
d
en
tal
ca
r
e.
C
ar
ies
d
etec
tio
n
u
s
in
g
p
r
o
ce
s
s
in
g
i
m
ag
e
h
as
b
ee
n
p
er
f
o
r
m
ed
b
y
d
ef
o
r
m
ab
le
te
m
p
late
tech
n
iq
u
e
[
13
]
.
T
h
is
tech
n
iq
u
e
is
a
p
o
ly
g
o
n
te
m
p
late
th
at
d
ef
in
e
s
th
e
g
e
n
er
al
s
h
ap
e
o
f
h
u
m
a
n
to
o
th
s
h
ap
e.
Af
ter
ea
c
h
to
o
th
w
as
f
o
u
n
d
it
s
f
o
r
m
a
n
d
lo
ca
tio
n
,
ca
r
ies
i
s
id
en
ti
f
ied
w
it
h
g
r
a
y
s
ca
le
a
n
al
y
s
i
s
m
e
th
o
d
w
h
ic
h
is
d
etec
tin
g
th
e
ed
g
es
a
n
d
s
eg
m
en
ti
n
g
a
m
o
n
g
ca
r
ies
a
n
d
to
o
th
s
u
r
f
ac
e
s
.
T
h
e
ca
r
ies
s
ec
tio
n
w
il
l
b
e
r
ec
o
g
n
ize
d
b
ec
au
s
e
o
f
t
h
e
r
ad
io
g
r
ap
h
ic
i
m
ag
e
w
ill
b
e
d
ar
k
t
in
ted
w
h
i
l
e
t
h
e
to
o
th
co
lo
r
is
b
r
ig
h
t.
I
n
ad
d
itio
n
to
d
etec
tin
g
ca
r
ies,
o
th
er
r
esear
ch
a
ls
o
att
e
m
p
ted
to
class
if
y
t
h
e
t
y
p
es
o
f
ca
r
ies,
i.e
.
,
p
r
i
m
ar
y
an
d
s
e
co
n
d
ar
y
ca
r
ies
w
i
th
a
g
r
a
y
s
ca
le
-
b
ased
m
eth
o
d
o
f
p
r
o
ce
s
s
in
g
in
ten
s
it
y
[
1
4
]
.
Seg
m
en
tatio
n
o
r
s
ep
ar
atio
n
b
et
w
ee
n
to
o
th
o
b
j
ec
ts
an
d
o
th
er
p
a
r
ts
g
e
t
a
lo
t
o
f
at
ten
tio
n
f
r
o
m
r
esear
ch
er
s
.
T
h
e
r
esear
ch
er
s
p
r
o
p
o
s
e
th
e
m
e
th
o
d
s
b
as
ed
o
n
co
n
g
r
u
e
n
c
y
o
f
th
e
lo
ca
l
s
tr
u
ct
u
r
e
o
f
th
e
i
m
a
g
e
[
1
5
]
.
T
h
is
m
et
h
o
d
w
a
s
u
n
a
f
f
ec
ted
b
y
c
h
a
n
g
e
s
i
n
i
m
a
g
e
s
ize,
r
o
tatio
n
,
tr
a
n
s
lat
i
o
n
,
ch
a
n
g
e
o
f
l
ig
h
t
an
d
n
o
is
e.
An
o
t
h
er
m
et
h
o
d
o
f
tex
t
u
r
e
-
b
ased
e
x
tr
ac
tio
n
f
ea
t
u
r
es
u
s
i
n
g
g
r
e
y
le
v
el
co
-
o
cc
u
r
r
en
ce
m
atr
ix
i
s
also
p
r
o
p
o
s
ed
to
s
ep
a
r
ate
ea
ch
to
o
th
in
t
h
e
r
ad
io
g
r
ap
h
[1
6
]
.
T
h
is
m
et
h
o
d
is
u
s
ed
b
y
m
a
n
y
r
es
ea
r
ch
er
,
h
o
w
e
v
er
it
ca
n
n
o
t
g
et
g
o
o
d
r
esu
lt
f
o
r
ter
t
iar
y
d
en
t
in
th
ick
n
es
s
ca
lc
u
lati
o
n
.
S
u
p
er
v
is
ed
lear
n
i
n
g
u
s
i
n
g
B
ay
e
s
ian
clas
s
i
f
ier
w
a
s
also
d
ev
elo
p
ed
[
1
7
]
.
So
m
e
o
f
r
esear
c
h
er
s
u
s
i
n
g
th
e
b
-
s
p
lin
e
a
lg
o
r
it
h
m
to
ca
lcu
late
th
e
ar
ea
i
n
m
ed
ical.
T
h
e
b
-
s
p
li
n
e
m
et
h
o
d
w
id
el
y
u
s
e
s
in
t
h
e
m
e
d
ical
f
ield
.
L
eh
m
a
n
n
[
1
8
]
u
s
e
d
b
-
s
p
lin
e
d
eg
r
ee
2
,
4
,
an
d
5
i
n
i
m
a
g
e
p
r
o
ce
s
s
in
g
.
R
ec
en
t
l
y
,
Gr
o
v
e
p
r
o
v
e
s
th
at
b
-
s
p
li
n
e
is
u
s
ed
in
m
o
d
ellin
g
o
f
t
h
e
m
ed
ical
i
m
a
g
e
[
1
9
]
.
So
m
e
o
f
t
h
e
m
u
s
ed
in
MRI
an
d
E
c
h
o
r
ad
ig
r
ap
h
.
Se
g
m
en
tatio
n
a
n
d
T
r
ac
k
in
g
h
av
e
b
ee
n
d
o
n
e
b
y
P
ed
r
o
s
a
[
20
]
.
Ped
r
o
s
a
T
h
is
v
ar
io
u
s
in
2
D,
3
D,
an
d
4
D
i
m
ag
e.
Fr
o
m
t
h
e
r
es
u
lt
ab
o
v
e,
b
-
s
p
li
n
e
is
g
o
o
d
en
o
u
g
h
to
h
elp
m
a
k
e
a
cu
r
v
e
f
o
r
m
ed
ical
ar
ea
w
h
ich
h
as
m
an
y
c
u
r
v
e
s
i
n
th
e
r
ad
io
g
r
ap
h
.
I
n
d
en
ti
s
tr
y
,
t
h
e
u
s
e
o
f
b
-
s
p
li
n
e
h
a
s
b
ee
n
d
o
n
e
b
y
L
e
u
n
g
[
21
]
.
L
eu
n
g
m
i
n
i
m
izes
t
h
e
d
e
n
tal
d
ig
ital
s
u
b
t
r
ac
tio
n
r
ad
io
g
r
ap
h
's
b
en
d
in
g
m
is
m
atc
h
es
w
i
th
th
e
b
-
s
p
lin
e
m
et
h
o
d
.
Dig
ita
l
s
u
b
tr
ac
ti
o
n
r
ad
io
g
r
ap
h
ca
n
i
m
p
r
o
v
e
d
is
ea
s
e
d
etec
tio
n
.
Ho
w
e
v
er
,
th
e
b
en
d
i
n
g
an
d
g
r
id
c
an
lead
m
i
s
m
a
tch
e
s
to
th
e
r
ad
i
o
g
r
ap
h
.
T
h
er
ef
o
r
e,
b
-
s
p
li
n
e
ca
n
h
elp
to
i
n
cr
ea
s
e
t
h
e
ac
c
u
r
ac
y
o
f
t
h
e
r
ad
io
g
r
ap
h
’
s
d
ata.
Di
g
ital
i
m
a
g
e
p
r
o
ce
s
s
i
n
g
r
esear
ch
r
elate
d
to
d
en
tis
tr
y
is
n
o
w
w
id
el
y
d
ev
elo
p
ed
.
Ho
w
e
v
er
,
r
esear
ch
s
t
u
d
ies
o
n
th
e
u
s
e
o
f
i
m
a
g
e
p
r
o
ce
s
s
i
n
g
tec
h
n
o
lo
g
y
h
av
e
n
o
t
b
ee
n
u
s
ed
to
ass
is
t
t
h
e
tr
ea
t
m
en
t
o
f
p
u
lp
ca
p
s
y
et,
p
ar
ticu
lar
l
y
to
esti
m
ate
t
h
e
t
h
ick
n
e
s
s
o
f
ter
tiar
y
d
en
tin
.
T
h
at
i
s
a
n
o
p
p
o
r
tu
n
it
y
to
co
n
tr
ib
u
te
to
th
e
ap
p
licati
o
n
o
f
i
m
a
g
e
p
r
o
ce
s
s
i
n
g
tec
h
n
o
lo
g
y
i
n
t
h
e
f
ield
o
f
d
en
tis
tr
y
.
O
n
t
h
e
o
th
er
h
a
n
d
,
th
is
r
esear
ch
w
o
u
ld
h
elp
d
en
tis
ts
to
o
v
er
v
ie
w
th
e
r
es
u
l
t
o
f
p
u
lp
ca
p
p
in
g
ef
f
icien
tl
y
a
n
d
e
asil
y
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
C
ar
ies
n
ee
d
to
b
e
r
esto
r
ed
f
o
r
p
r
ev
en
ti
n
g
th
e
lar
g
er
ca
v
it
y
i
n
o
r
d
er
th
e
to
o
th
ca
n
b
e
m
ai
n
ta
in
ed
o
r
n
o
n
ee
d
to
b
e
ex
tr
ac
ted
.
P
u
lp
ca
p
p
in
g
tr
ea
t
m
en
t
ai
m
s
to
p
r
o
te
ct
th
e
p
u
lp
f
r
o
m
ir
r
itatio
n
a
n
d
m
ai
n
tai
n
v
italit
y
.
Fig
u
r
e
1
(
a)
-
(
c)
ar
e
to
o
th
i
llu
s
t
r
atio
n
s
w
i
th
ca
r
ies,
a
f
ter
te
m
p
o
r
ar
y
r
esto
r
atio
n
an
d
a
f
ter
co
m
p
o
s
ite
r
es
to
r
atio
n
,
r
esp
ec
tiv
el
y
.
Ob
s
er
v
atio
n
o
f
t
er
tiar
y
d
en
ti
n
t
h
ick
n
e
s
s
w
a
s
d
o
n
e
b
y
co
m
p
ar
in
g
t
h
e
t
h
ic
k
n
e
s
s
a
f
ter
tr
ea
t
m
e
n
t
a
s
s
h
o
w
n
i
n
F
ig
u
r
es
1
(
b
)
an
d
Fig
u
r
e
1
(
c)
w
ith
p
r
io
r
tr
ea
t
m
en
t
a
s
s
h
o
w
n
in
Fi
g
u
r
e
1
(
a)
.
T
h
e
th
ick
n
e
s
s
o
f
ter
tiar
y
d
en
tin
a
f
ter
tr
ea
t
m
e
n
t i
s
o
n
e
o
f
th
e
i
n
d
icatio
n
o
f
th
e
s
u
cc
e
s
s
f
u
l o
f
p
u
lp
ca
p
p
in
g
tr
ea
t
m
e
n
t.
E
th
ical
clea
r
a
n
ce
s
ta
n
d
ar
d
ized
b
y
T
h
e
Me
d
ical
R
esear
ch
E
t
h
ics
C
o
m
m
it
tee
o
f
U
n
iv
er
s
ita
s
Mu
h
a
m
m
ad
i
y
ah
Yo
g
y
a
k
ar
ta
w
a
s
i
m
p
le
m
e
n
ted
in
t
h
is
s
tu
d
y
.
Su
b
j
ec
ts
w
er
e
th
e
p
er
iap
ical
r
ad
io
g
r
ap
h
o
f
3
8
p
u
lp
ca
p
p
in
g
tr
ea
t
m
e
n
t
p
atie
n
ts
.
E
ac
h
o
f
p
atien
t
v
is
ited
d
en
tal
h
o
s
p
ital
3
ti
m
es.
First
,
th
e
p
atien
t
g
o
t
a
n
ap
p
licatio
n
o
f
p
u
lp
ca
p
p
in
g
m
ater
ial.
Seco
n
d
,
a
f
ter
o
n
e
-
w
ee
k
tr
ea
t
m
en
t
an
d
te
m
p
o
r
ar
y
r
esto
r
atio
n
.
L
ast
l
y
,
af
ter
m
o
r
e
th
an
o
n
e
m
o
n
t
h
w
it
h
th
e
co
m
p
o
s
ite
as
th
e
f
i
n
al
r
esto
r
atio
n
.
I
n
f
o
r
m
e
d
co
n
s
en
t
s
i
g
n
ed
b
y
p
atien
ts
a
s
a
s
u
b
j
ec
t
ag
r
ee
m
en
t.
T
h
e
r
esear
ch
w
i
ll
b
e
ca
r
r
ied
o
u
t
in
t
h
r
ee
m
a
in
p
ar
t:
1
)
co
llectin
g
d
ata,
2)
th
e
p
r
o
ce
s
s
o
f
e
s
ti
m
ated
te
r
tiar
y
d
en
t
in
t
h
ick
n
es
s
a
n
d
3
)
r
esu
lt
v
al
id
atio
n
,
a
s
s
h
o
w
n
i
n
Fig
u
r
e
2
.
Deta
i
led
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
E
s
tima
tio
n
o
f te
r
tia
r
y
d
en
tin
th
ickn
ess
o
n
p
u
lp
ca
p
p
i
n
g
tr
ea
t
men
t wi
th
d
ig
ita
l ima
g
e
…
(
S
la
met
R
iya
d
i
)
523
ex
p
lan
atio
n
s
o
f
ea
c
h
p
ar
t o
f
th
e
s
tu
d
y
ar
e
as
f
o
llo
w
s
:
A
.
C
a
r
i
e
s
(
d
x
P
ul
p
it
i
s
R
e
v
e
r
s
ib
l
e
)
B
.
R
e
m
a
ini
ng
De
n
t
in
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hi
c
k
n
e
s
s
A
.
T
e
m
p
or
a
r
y
F
il
li
n
g
B
.
C
a
pping
a
nd
L
inni
ng
C
.
T
e
r
ti
a
r
y
De
n
t
in
A
’
.
C
o
m
p
os
it
e
F
il
li
ng
B
’
.
C
a
pping
a
n
d
L
inni
ng
C
.
T
e
r
ti
a
r
y
De
n
t
in
D.
P
ul
p
C
h
a
m
be
r
E
.
T
e
r
t
i
a
r
y
De
nt
in
T
hick
n
e
s
s
(
a)
(
b
)
(
c)
Fig
u
r
e
1
.
I
llu
s
tr
atio
n
a
to
o
th
(
a
)
w
it
h
ca
r
ies;
(
b
)
af
ter
tr
ea
t
m
e
n
t
o
f
te
m
p
o
r
ar
y
f
ill
in
g
;
an
d
(
c)
af
ter
tr
ea
t
m
en
t o
f
co
m
p
o
s
ite
f
illi
n
g
Fig
u
r
e
2
.
Me
th
o
d
r
esear
ch
2
.
1
.
Co
llect
ing
d
a
t
a
I
n
th
i
s
p
ar
t,
d
en
tal
r
ad
io
g
r
ap
h
ic
p
h
o
to
s
ar
e
o
b
tain
ed
f
r
o
m
t
h
e
p
er
iap
ical
r
ad
io
g
r
ap
h
d
ata
o
f
p
atien
t
s
w
h
o
s
e
d
o
th
e
p
u
lp
ca
p
p
in
g
tr
ea
t
m
e
n
t
at
UM
Y
Den
tal
Ho
s
p
ital.
P
er
iap
ical
r
a
d
io
g
r
ap
h
s
h
o
u
ld
in
cl
u
d
e
p
h
o
to
s
b
ef
o
r
e
an
d
a
f
ter
p
u
lp
tr
ea
t
m
e
n
t.
On
ce
it
is
co
llected
,
th
e
d
ata
w
ill
b
e
clas
s
if
ied
b
y
d
e
n
ti
s
t
in
to
t
h
r
ee
d
ata
s
et
s
in
ac
co
r
d
in
g
to
i
m
a
g
e
q
u
al
it
y
,
w
h
ich
i
s
h
i
g
h
,
m
ed
iu
m
a
n
d
lo
w
.
C
la
s
s
i
f
icatio
n
o
f
d
ata
is
d
o
n
e
to
f
ac
ilit
ate
th
e
p
ar
ts
o
f
m
ak
i
n
g
m
et
h
o
d
s
an
d
an
al
y
s
is
o
f
r
es
u
lts
.
T
h
e
n
ex
t
p
ar
t
is
th
e
d
o
cto
r
d
eter
m
i
n
es
th
e
r
elev
a
n
t
p
o
in
ts
o
f
ter
tiar
y
d
en
tin
t
h
is
is
n
ec
ess
ar
y
b
ec
au
s
e
t
h
e
p
o
in
ts
as
a
r
ef
er
e
n
ce
w
h
e
n
d
o
i
n
g
t
h
e
esti
m
atio
n
p
r
o
ce
s
s
.
T
h
e
o
u
tp
u
t
o
f
th
is
p
ar
t
is
t
h
e
av
ailab
ilit
y
o
f
d
en
tal
r
ad
io
g
r
ap
h
d
ig
ital
i
m
a
g
e
d
ata,
w
h
er
e
t
h
e
s
u
cc
es
s
i
n
d
icato
r
is
th
e
co
m
p
le
te
av
ailab
le
d
ata,
co
v
er
in
g
al
l
th
e
p
h
o
to
g
r
ap
h
s
r
eq
u
ir
ed
w
h
e
n
t
h
e
p
u
lp
ca
g
e
tr
ea
t
m
e
n
t
ev
al
u
atio
n
is
p
er
f
o
r
m
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
0
:
521
-
529
524
2
.
2
.
P
r
o
ce
s
s
esti
m
a
t
io
n t
er
t
i
a
ry
dentin t
hic
k
nes
s
T
h
e
f
o
llo
w
i
n
g
e
x
p
lan
a
tio
n
p
ar
ts
w
h
e
n
m
ak
i
n
g
esti
m
atio
n
s
:
2
.
2
.
1
.
P
re
-
pro
ce
s
s
T
h
e
p
r
e
-
p
r
o
ce
s
s
in
g
p
ar
t
is
p
r
ep
ar
in
g
t
h
e
i
m
a
g
e
to
b
e
p
r
o
ce
s
s
ed
in
a
later
p
ar
t.
T
h
is
p
ar
t
c
o
n
s
is
ts
o
f
i
m
p
r
o
v
i
n
g
i
m
ag
e
q
u
alit
y
th
r
o
u
g
h
i
n
cr
ea
s
ed
co
n
tr
ast
a
n
d
n
o
is
e
r
ed
u
c
tio
n
,
i
n
p
ar
ticu
lar
ai
m
in
g
to
c
lar
if
y
th
e
ed
g
e
o
f
th
e
ter
tiar
y
d
en
ti
n
ar
ea
.
T
h
er
e
ar
e
s
o
m
e
p
h
o
to
s
o
f
th
e
s
a
m
e
o
b
j
ec
t
b
u
t
s
h
o
t
w
it
h
a
d
i
f
f
er
e
n
t
d
is
tan
ce
;
t
h
is
w
i
ll
af
f
ec
t
t
h
e
ca
lcu
latio
n
o
f
th
e
t
h
ic
k
n
e
s
s
esti
m
atio
n
.
T
h
er
ef
o
r
e,
a
s
o
lu
tio
n
is
r
esizi
n
g
o
n
p
h
o
to
g
r
ap
h
s
t
h
at
h
a
v
e
d
if
f
er
e
n
t
d
is
ta
n
ce
s
.
W
h
en
th
e
p
h
o
to
s
h
a
v
e
m
et
t
h
e
cr
iter
ia,
t
h
e
n
th
e
p
h
o
to
s
w
ill
b
e
lo
ad
ed
in
to
th
e
p
r
o
g
r
a
m
to
p
e
r
f
o
r
m
th
e
ca
lcu
latio
n
p
r
o
ce
s
s
.
T
h
e
i
m
ag
e
is
r
esized
to
3
6
0
x
6
0
0
p
o
r
tr
ait
im
a
g
e
an
d
8
0
0
x
4
8
0
lan
d
s
ca
p
e
im
a
g
e
.
T
h
e
d
en
tis
t a
ls
o
ca
n
ad
j
u
s
t th
e
p
o
s
itio
n
o
f
th
e
i
m
a
g
e
th
a
t r
ea
ll
y
f
it t
h
eir
n
ee
d
.
2
.
2
.
2
.
Def
ine o
f
po
int
in dentin
edg
es
Fu
ll
y
a
u
to
m
atic
d
e
n
ti
n
ar
ea
ca
lcu
lat
io
n
i
s
v
er
y
co
m
p
li
ca
ted
b
ec
au
s
e
o
f
p
o
o
r
i
m
a
g
e
q
u
al
it
y
,
an
d
th
e
ed
g
e
o
f
t
h
e
d
en
t
in
ar
ea
is
n
o
t
v
is
ib
le
v
er
y
clea
r
l
y
.
I
n
t
h
i
s
s
t
u
d
y
,
t
h
e
ca
lc
u
la
tio
n
is
d
o
n
e
s
e
m
i
-
au
to
m
at
icall
y
w
h
ic
h
i
s
d
en
ti
s
t
n
ee
d
to
d
eter
m
in
e
s
o
m
e
s
t
ar
tin
g
p
o
in
ts
alo
n
g
t
h
e
d
en
ti
n
r
o
u
te.
T
h
e
p
o
in
t
d
eter
m
in
at
io
n
i
s
d
o
n
e
b
y
clic
k
in
g
o
n
th
e
d
esire
d
d
en
ti
n
ed
g
e
i
m
a
g
e
a
s
s
h
o
w
n
i
n
Fi
g
u
r
e
3
.
P
o
in
ts
t
h
at
h
a
v
e
b
ee
n
s
elec
ted
b
y
t
h
e
d
en
t
is
t
w
il
l
b
e
s
y
m
b
o
lized
as
'x
'
.
T
h
e
d
en
tis
t
w
i
ll
d
eter
m
i
n
e
t
h
e
p
o
in
ts
as
m
u
ch
a
s
6
-
8
d
o
ts
.
Po
in
t
d
eter
m
in
at
io
n
d
ep
en
d
s
o
n
th
e
i
m
a
g
e
to
b
e
esti
m
ated
i
f
th
e
i
m
ag
e
h
as
ter
tiar
y
d
en
ti
n
w
ith
v
ar
y
i
n
g
cu
r
v
at
u
r
e
t
h
en
r
eq
u
ir
ed
th
e
d
eter
m
in
at
io
n
o
f
t
h
e
m
ax
i
m
u
m
p
o
in
t.
T
h
e
s
p
ec
if
i
ed
p
o
in
ts
ar
e
v
er
y
in
f
lu
e
n
tia
l in
t
h
e
ca
lcu
latio
n
p
r
o
ce
s
s
.
Fig
u
r
e
3
.
I
m
a
g
e
a
f
ter
ch
o
o
s
i
n
g
s
o
m
e
p
o
in
t
2
.
2
.
3
.
Co
nn
ec
t
ing
po
ints w
it
h b
-
s
pli
ne
m
et
ho
d
T
h
e
co
n
n
ec
tio
n
o
f
t
h
e
s
tar
ti
n
g
p
o
in
ts
is
d
o
n
e
a
u
to
m
a
ticall
y
u
s
i
n
g
t
h
e
B
-
s
p
li
n
e
m
et
h
o
d
.
A
B
-
s
p
lin
e
i
s
a
g
en
er
aliza
tio
n
o
f
th
e
B
éz
i
er
cu
r
v
e
[
22
]
.
B
-
s
p
lin
e
o
v
er
co
m
e
s
s
o
m
e
o
f
th
e
d
r
a
w
b
ac
k
s
o
f
B
éz
ier
cu
r
v
e,
B
-
s
p
lin
e
h
as
a
d
i
f
f
er
e
n
t
ap
p
r
o
ac
h
to
r
ep
r
esen
tin
g
p
iece
w
is
e
p
o
ly
n
o
m
ial
c
u
r
v
e
s
.
T
o
co
n
n
ec
t
b
et
w
ee
n
p
o
in
ts
,
w
e
n
ee
d
a
p
lo
t
f
u
n
ctio
n
.
T
h
e
p
lo
t
f
u
n
c
tio
n
is
u
s
ed
to
co
n
n
e
ct
p
o
in
t
to
p
o
in
t
lin
ea
r
l
y
.
P
lo
ttin
g
a
f
u
n
ctio
n
u
s
in
g
th
e
co
m
m
an
d
,
w
e
ca
lcu
la
ted
b
y
t
h
e
f
u
n
ctio
n
s
ev
al
u
atio
n
at
x
-
v
al
u
es
x
1
,
x
2
,
.
.
.
,
x
n
an
d
m
ak
in
g
a
cu
r
v
e
t
h
at
th
e
p
o
in
ts
{(
x
k
,
y
k
)
}
n
k
=1
,
w
h
er
e
y
k
=
f
(
x
k
)
is
p
ass
ed
th
r
o
u
g
h
t
h
e
cu
r
v
e
[
23
]
.
T
h
e
m
ai
n
f
s
p
ac
in
g
in
B
-
f
o
r
m
i
s
th
e
r
an
g
e
t
h
at
in
cl
u
d
es
all
cla
u
s
e
s
.
T
h
is
clau
s
es
m
ea
n
t
h
at
w
h
ile
th
e
f
ir
s
t
n
o
d
e
an
d
th
e
la
s
t
n
o
d
es
ar
e
p
er
f
ec
t
m
u
ltip
licit
y
b
y
k
an
d
k
is
t
h
e
s
p
lin
e
’
s
o
r
d
er
.
T
h
e
f
ca
n
b
e
s
o
lv
ed
r
eliab
l
y
at
t
h
e
en
d
o
f
th
e
b
asic
i
n
ter
v
al.
T
h
e
cu
r
v
e
r
ep
r
esen
tatio
n
i
s
g
e
n
er
ated
b
y
‘
f
n
p
lt
’
.
T
h
is
r
ep
r
esen
tat
io
n
is
i
n
te
n
d
ed
to
f
ir
s
t
a
n
d
last
at
t
h
e
f
i
x
ed
p
o
in
t,
d
esp
ite
e
v
er
y
t
h
i
n
g
o
f
wh
at
i
s
d
o
n
e
o
th
er
w
i
s
e,
m
u
l
tip
l
ex
in
g
is
d
o
n
e
w
h
en
f
as
s
p
li
n
e
.
Yet,
s
i
n
ce
th
e
y
ar
e
ze
r
o
B
-
s
p
lin
e
s
e
x
ce
p
t
t
h
eir
s
u
p
p
o
r
t,
B
-
f
o
r
m
f
u
n
ctio
n
s
ar
e
ze
r
o
ex
cl
u
d
e
t
h
e
b
a
s
ic
r
an
g
e
o
f
t
h
at
f
o
r
m
at.
T
h
is
is
d
if
f
er
en
t
f
r
o
m
a
f
u
n
ct
io
n
o
f
a
f
o
r
m
w
h
o
s
e
v
al
u
e
e
x
clu
d
i
n
g
t
h
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b
as
i
c
r
an
g
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o
f
t
h
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f
o
r
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g
i
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e
n
b
y
th
e
e
x
te
n
s
io
n
s
to
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h
e
le
f
t,
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o
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e
to
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e
r
ig
h
t,
o
f
ea
ch
p
ar
t o
f
t
h
e
p
o
l
y
n
o
m
ial
[
24
]
.
T
h
e
cu
b
ic
s
p
lin
e
cu
r
v
e
is
ap
p
lied
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ter
th
e
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t
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ct
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n
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u
g
en
e
L
ee
is
c
h
o
s
i
n
g
th
e
p
o
in
t
r
esu
lts
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n
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p
lin
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r
v
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w
ith
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eq
u
e
n
ce
p
o
in
t
f
o
r
th
e
j
-
th
p
o
in
t
[
25
]
ce
n
tr
ip
etal
s
ch
e
m
e
as
t
h
e
ag
g
r
e
g
ated
s
q
u
ar
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r
o
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t
o
f
ch
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d
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g
t
h
.
∑
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|
|
(
:
,
+
1
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<
P
er
io
d
ic
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b
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v
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h
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r
n
er
s
r
es
u
l
t
d
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u
b
le
p
o
in
ts
[
26
]
.
Usi
n
g
t
h
e
cu
b
ic
s
p
li
n
e
c
u
r
v
e
f
u
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w
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h
an
g
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b
-
s
p
li
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e
as
s
h
o
w
n
i
n
Fi
g
u
r
e
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
E
s
tima
tio
n
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f te
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ickn
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u
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p
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ig
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(
S
la
met
R
iya
d
i
)
525
T
h
e
cu
b
e
s
p
lin
e
f
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m
s
an
ir
r
eg
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lar
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ap
e
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o
r
m
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ter
ti
ar
y
d
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tin
a
s
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i
n
F
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g
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r
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5
(
a
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an
d
w
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e
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lcu
lated
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Fig
u
r
e
4
.
B
-
s
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u
s
i
n
g
cu
b
ic
s
p
l
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cu
r
v
e
Fig
u
r
e
5
.
(
a)
I
m
ag
e
w
i
th
s
elec
t
ed
ter
tiar
y
d
en
t
in
ar
ea
,
(
b
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C
o
n
v
er
t to
B
in
ar
y
I
m
a
g
e
2
.
2
.
4
.
Ca
lcula
t
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dentin t
hickn
ess
Sin
ce
th
e
to
p
a
n
d
b
o
tto
m
ed
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o
f
th
e
ter
tiar
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ar
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n
o
t
s
tr
aig
h
t
lin
e
s
,
t
h
e
e
s
ti
m
at
ed
ter
tiar
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d
en
tin
th
ick
n
es
s
i
s
n
o
t
ca
lc
u
lated
f
r
o
m
th
e
u
p
p
er
ed
g
e
t
o
th
e
lo
w
er
ed
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e.
T
h
e
ca
lcu
latio
n
i
s
d
o
n
e
b
y
ca
lcu
lati
n
g
t
h
e
p
ix
el
s
’
n
u
m
b
er
in
t
h
e
ter
tiar
y
d
en
ti
n
ar
ea
.
T
o
b
e
ab
le
to
a
ca
lcu
latio
n
o
f
p
i
x
el
ar
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is
co
n
v
er
te
d
in
to
th
e
b
in
ar
y
i
m
a
g
e,
as
in
F
i
g
u
r
e
5
b
.
A
b
in
ar
y
i
m
ag
e
(
0
an
d
1
s
y
m
b
o
l
i
m
ag
e)
is
an
ar
r
a
y
f
r
o
m
a
g
r
a
y
i
m
a
g
e.
An
i
m
a
g
e
i
s
co
m
p
o
s
ed
to
b
e
d
is
cr
ete
v
alu
e
s
t
h
at
h
a
v
e
b
ee
n
d
is
p
la
y
ed
i
n
t
h
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ar
r
a
y
.
T
h
e
i
m
a
g
e
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ea
ar
e
m
ar
k
ed
w
it
h
1
,
w
h
er
ea
s
t
h
e
b
ac
k
g
r
o
u
n
d
is
m
ar
k
ed
w
it
h
0
.
So
m
e
o
f
g
eo
m
etr
ic
a
n
d
to
p
o
lo
g
ical
f
ea
t
u
r
es
ca
n
b
e
ca
lcu
lated
f
r
o
m
t
h
e
p
r
o
j
ec
ted
o
b
j
ec
t
r
eg
io
n
[
27
]
.
W
e
ca
n
o
b
tain
t
h
e
B
i
n
ar
y
i
m
a
g
e
u
s
i
n
g
p
o
ly
2
m
as
k
f
u
n
c
tio
n
f
o
r
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n
v
er
t
r
eg
io
n
o
f
in
ter
est
(
R
OI
)
p
o
ly
g
o
n
to
r
eg
io
n
m
a
s
k
[2
8
]
.
T
h
is
f
u
n
ctio
n
s
er
v
es
to
s
ep
ar
ate
th
e
ter
tiar
y
d
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ar
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t
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ef
o
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at
t
h
e
ter
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d
en
ti
n
p
ix
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v
al
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o
n
e
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b
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o
n
d
it
is
w
o
r
th
0
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h
u
s
,
t
h
e
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u
m
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ix
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s
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o
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tain
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b
y
ad
d
in
g
u
p
all
th
e
p
i
x
els i
n
t
h
e
i
m
ag
e.
3.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
Fro
m
th
e
r
ad
io
g
r
ap
h
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p
h
o
to
g
r
ap
h
s
o
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w
h
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ex
a
m
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UM
Y
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en
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ita
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r
o
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r
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at
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ti
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y
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h
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h
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cc
ess
w
h
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lt
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n
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r
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s
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n
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ted
ter
tiar
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.
T
h
er
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ar
e
3
8
p
atien
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w
i
th
t
h
r
ee
p
h
o
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ea
c
h
w
it
h
v
ar
y
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n
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le
n
g
t
h
o
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ti
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e.
T
h
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f
o
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s
a
m
p
le
r
ad
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g
r
ap
h
s
ar
e
ev
al
u
ated
o
n
th
e
ter
tiar
y
d
e
n
ti
n
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.
Fro
m
th
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3
8
p
atien
t
s
,
o
u
r
e
x
p
er
i
m
e
n
t
u
s
e
1
1
4
p
ictu
r
e
to
tr
ai
n
as
b
ef
o
r
e
an
d
a
f
ter
tr
ea
t
m
e
n
t p
r
o
ce
s
s
.
T
h
e
v
alid
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p
r
o
ce
s
s
is
u
s
ed
w
i
th
co
m
p
ar
in
g
m
a
n
u
al
p
r
o
ce
s
s
b
y
d
en
ti
s
t.
Data
th
at
h
a
s
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ee
n
co
llected
g
o
t
r
ef
in
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en
t
p
r
o
s
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w
h
ic
h
th
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r
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as
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r
o
n
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n
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m
i
n
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o
r
cr
o
p
p
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tal
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ad
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r
ap
h
.
T
h
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tal
p
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ctu
r
e
is
1
1
4
p
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r
es
w
h
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h
1
3
5
p
ictu
r
es
ar
e
b
e
test
ed
to
esti
m
ate
th
e
t
h
ic
k
n
e
s
s
o
f
ter
tiar
y
d
en
ti
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.
th
i
s
s
ec
tio
n
,
it
is
ex
p
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n
ed
th
e
r
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lt
s
o
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c
h
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d
at
th
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s
a
m
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m
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g
i
v
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th
e
co
m
p
r
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e
n
s
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v
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d
is
cu
s
s
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n
.
R
es
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lts
ca
n
b
e
p
r
esen
ted
in
F
i
g
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r
es,
g
r
ap
h
s
,
tab
les
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d
o
th
er
s
th
at
m
ak
e
th
e
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ea
d
er
u
n
d
er
s
ta
n
d
ea
s
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y
.
T
h
e
d
is
cu
s
s
io
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ca
n
b
e
m
ad
e
in
s
e
v
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s
u
b
-
c
h
ap
ter
s
.
Fro
m
th
e
p
atien
t’
s
d
en
ta
l
r
ad
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g
r
ap
h
w
h
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g
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t
to
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r
ep
air
m
en
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f
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m
d
if
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er
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t
t
y
p
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o
f
t
o
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ca
r
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ies
,
th
e
d
en
tis
t
is
n
ee
d
ed
to
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d
en
tify
th
e
d
o
t
to
d
o
t
o
f
th
e
ter
tiar
y
d
en
tin
o
r
p
u
lp
ch
a
m
b
er
.
Fi
g
u
r
e
6
is
t
h
e
i
m
ag
e
o
f
t
h
e
b
ef
o
r
e,
in
an
d
af
ter
tr
ea
t
m
e
n
t.
Fig
u
r
e
6
.
(
lef
t)
C
o
n
d
itio
n
s
o
f
t
o
o
th
p
r
io
r
to
tr
ea
t
m
e
n
t o
f
p
u
lp
ca
p
s
,
(
m
id
d
le)
C
o
n
d
itio
n
s
o
f
t
o
o
th
h
av
e
b
ee
n
d
o
n
e
ca
p
p
in
g
p
u
lp
w
it
h
te
m
p
o
r
ar
y
f
illi
n
g
,
(
r
ig
h
t)
af
ter
tr
ea
t
m
en
t o
f
te
m
p
o
r
ar
y
f
ill
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
0
:
521
-
529
526
I
n
F
ig
u
r
e
6
,
w
e
ca
n
s
ee
t
h
e
d
en
tal
i
m
ag
e
o
f
t
h
e
p
atien
t,
it
ta
k
es
8
p
o
in
ts
d
eter
m
i
n
ed
b
y
th
e
d
en
tis
t
to
b
e
ab
le
to
g
et
t
h
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m
a
x
i
m
u
m
a
cc
u
r
ac
y
.
I
n
ca
s
e,
t
h
er
e
ar
e
s
o
m
e
p
h
o
to
s
t
h
at
p
o
s
it
io
n
w
h
e
n
s
h
o
o
tin
g
is
n
o
t
f
i
x
ed
o
r
th
e
s
a
m
e.
A
s
a
r
esu
l
t,
th
er
e
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ch
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g
e
i
n
th
e
p
o
s
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o
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o
f
th
e
to
o
th
i
n
th
e
p
ictu
r
e
th
u
s
w
i
ll
af
f
ec
t
th
e
s
h
ap
e
o
f
t
h
e
ter
tiar
y
d
en
ti
n
ar
ea
.
T
h
er
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o
r
e,
a
s
o
lu
tio
n
th
at
ca
n
b
e
tak
e
n
i
s
to
co
n
s
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t
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ith
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tis
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ea
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h
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h
o
to
to
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e
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m
a
ted
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n
m
a
x
i
m
ize
t
h
e
ac
cu
r
ac
y
w
h
e
n
d
o
in
g
ca
lcu
la
tio
n
s
.
T
h
e
th
ick
n
e
s
s
ca
lc
u
latio
n
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tiar
y
d
en
tin
ca
n
b
e
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o
n
e
b
y
en
u
m
er
atin
g
p
ix
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alu
e
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n
t
h
e
i
m
a
g
e.
T
h
e
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m
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e
h
as
b
ee
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co
n
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er
te
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to
th
e
b
in
ar
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i
m
a
g
e.
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h
e
v
a
lu
e
o
f
b
i
n
ar
y
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m
a
g
e
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lc
u
late
d
‘
1
'
b
i
n
ar
y
v
al
u
e
i
n
th
e
ar
ea
.
T
h
er
ef
o
r
e,
th
e
ar
ea
in
s
id
e
th
e
li
n
e
is
ter
tiar
y
d
e
n
ti
n
.
Fro
m
th
e
r
ad
io
g
r
ap
h
a
n
d
w
ir
e,
th
e
v
al
u
e
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ill b
e:
1
=
(
)
2
…………
………
.
.
………….
(
1
)
tert
ia
r
y
e
=
va
l
u
e
1
Fro
m
th
e
eq
u
a
tio
n
(
1
)
ab
o
v
e,
w
e
ca
n
co
n
cl
u
d
e
th
e
ter
tiar
y
d
en
ti
n
v
al
u
e
f
o
r
th
is
ca
s
e
i
s
:
tert
ia
r
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=
(
21
.
5
434
)
2
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ia
r
y
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=
p
ix
el
v
alu
e
0
.
0
0
2
5
…………….
.
(
2
)
T
h
er
ef
o
r
e,
w
e
ca
n
g
e
t
th
e
te
r
tiar
y
d
en
tin
ar
ea
as
ab
o
v
e
v
alu
e.
E
v
er
y
P
ix
el
ar
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m
u
lti
p
lie
s
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it
h
0
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0
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2
5
to
g
et
th
e
m
i
lli
m
etr
e
ar
ea
.
T
h
is
eq
u
atio
n
to
ca
lcu
la
te
th
e
m
i
lli
m
etr
e
ar
ea
o
f
th
e
d
en
tal
r
ad
io
g
r
ap
h
y
.
Fro
m
Fi
g
u
r
e
7
,
th
er
e
ar
e
co
d
es
lik
e
"
I
n
"
,
"
K1
"
an
d
"
K2
"
.
T
h
e
"
in
"
co
d
e
m
ea
n
s
t
h
at
t
h
e
p
atien
t
h
as
n
o
t
b
ee
n
tr
ea
ted
w
it
h
th
e
p
u
lp
ca
p
.
C
o
d
e
"
K1
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s
h
o
w
s
to
o
th
t
h
at
h
a
s
b
ee
n
tr
ea
ted
f
o
r
p
u
lp
ca
p
s
f
o
r
s
ev
er
al
w
ee
k
s
,
w
h
il
e
th
e
"
K2
"
is
th
e
th
ick
n
es
s
co
d
e
f
o
r
s
e
v
er
al
m
o
n
th
s
a
f
ter
tr
ea
t
m
en
t.
T
er
tiar
y
d
en
ti
n
t
h
ic
k
n
es
s
i
n
cr
ea
s
e
d
ep
en
d
s
o
n
th
e
d
u
r
atio
n
o
f
a
f
ter
tr
ea
t
m
en
t,
b
u
t
ter
tiar
y
d
en
ti
n
t
h
ic
k
n
es
s
ca
n
g
r
o
w
o
n
l
y
a
f
e
w
m
il
li
m
etr
es
p
er
m
o
n
t
h
.
T
h
is
is
th
e
p
r
o
b
le
m
o
f
t
h
e
d
en
tis
t
w
h
e
n
th
e
y
w
a
n
t
to
k
n
o
w
w
h
eth
er
t
h
e
tr
ea
t
m
e
n
t
o
f
p
u
l
p
ca
p
s
is
s
atis
f
ied
o
r
n
o
t
w
it
h
q
u
alitati
v
e
m
et
h
o
d
s
.
Usi
n
g
q
u
a
n
titati
v
e
m
et
h
o
d
,
t
h
e
d
en
t
is
t
w
ill
k
n
o
w
f
aster
,
w
h
et
h
er
th
e
d
en
ti
n
t
er
tiar
y
is
i
n
cr
ea
s
i
n
g
o
r
n
o
t.
T
h
e
r
is
in
g
v
al
u
e
ca
n
b
e
co
n
clu
d
ed
th
at
t
h
e
d
en
ti
s
t
s
u
cc
e
ed
ed
in
p
er
f
o
r
m
in
g
th
e
tr
ea
t
m
e
n
t
o
f
t
h
e
p
u
lp
ca
p
to
th
e
p
atie
n
t.
Ho
w
e
v
er
,
t
h
er
e
is
s
o
m
e
d
ata
a
f
ter
t
h
e
tr
ea
t
m
en
t
o
f
t
h
e
t
h
ic
k
n
ess
o
f
th
e
p
u
lp
th
ick
n
es
s
o
f
ter
t
i
ar
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d
e
n
ti
n
d
ec
r
ea
s
ed
,
w
h
e
n
i
t
co
m
p
ar
es
to
d
en
ti
n
b
ef
o
r
e
tr
ea
t
m
e
n
t,
th
is
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n
o
cc
u
r
s
in
b
ec
au
s
e
th
er
e
i
s
er
o
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io
n
ca
n
b
e
eli
m
in
at
io
n
i
n
ca
r
ies o
r
d
ea
d
ce
lls
.
Fig
u
r
e
7
.
Gr
ap
h
ter
tiar
y
d
en
ti
n
th
ic
k
n
e
s
s
f
r
o
m
ex
a
m
p
le
p
atie
n
t
P
2
0
-
P2
5
Fro
m
t
h
e
r
esu
lt i
n
T
ab
le
1
,
th
e
m
a
n
u
al
o
b
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er
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r
o
m
th
e
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en
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t a
n
d
t
h
e
co
m
p
u
ter
ized
in
s
p
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,
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er
e
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al
m
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t
n
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d
if
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er
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ce
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all.
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er
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l
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atie
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t
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s
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ata
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t
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h
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m
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ized
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o
m
1
5
p
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t
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d
ata
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d
4
5
p
er
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ad
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ap
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a
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lth
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g
h
t
h
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atie
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t
t
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at
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ig
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w
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ail
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ata
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ar
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ter
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y
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y
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m
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ap
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o
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r
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ag
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T
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d
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t
h
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.
Ho
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ap
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m
p
le
P
2
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2
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a
ma
C
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d
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Ex
p
e
r
t
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e
n
t
:
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2
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h
e
d
e
n
t
i
n
i
s
i
n
c
r
e
a
se
d
w
i
t
h
h
o
r
m
p
u
l
p
r
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so
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p
t
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n
i
n
d
i
st
a
l
t
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o
t
h
n
u
m
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e
r
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6
.
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In
P
2
1
K2
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u
a
l
i
t
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o
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2
d
e
n
t
a
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r
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d
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g
r
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p
h
a
f
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t
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r
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o
w
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r
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s
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r
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si
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h
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c
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n
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n
t
e
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a
r
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n
t
i
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l
i
n
i
c
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l
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s p
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n
a
r
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g
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h
e
f
i
l
l
i
n
g
l
o
o
k
s
h
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i
c
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2
2
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o
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g
f
i
l
l
i
n
g
s a
n
d
h
e
r
me
t
i
c
.
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h
e
r
e
i
s a
n
a
r
r
o
w
e
r
p
u
l
p
c
h
a
m
b
e
r
.
K1
In
P
2
3
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o
o
g
f
i
l
l
i
n
g
s a
n
d
h
e
r
me
t
i
c
.
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h
e
r
e
i
s a
n
a
r
r
o
w
e
r
p
u
l
p
c
h
a
m
b
e
r
.
K1
In
P
2
4
K2
T
h
e
q
u
a
l
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t
y
o
f
K
2
r
a
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r
a
p
h
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d
.
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h
e
f
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g
i
s g
o
o
d
a
n
d
h
e
r
mat
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c
.
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In
P
2
5
K2
F
i
l
l
i
n
g
i
s
j
u
st
sl
i
g
h
t
l
y
h
e
r
mat
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c
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In
T
ab
le
2
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th
e
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lt
o
f
t
h
e
ca
l
cu
latio
n
w
h
ic
h
th
er
e
i
s
3
b
ad
o
r
d
is
to
r
tio
n
o
f
th
e
d
en
tal
r
ad
io
g
r
ap
h
th
at
ca
n
lead
to
th
e
d
if
f
er
en
t
ca
lc
u
latio
n
.
T
h
e
b
ad
q
u
ality
o
f
t
h
e
d
en
tal
r
ad
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g
r
ap
h
o
r
d
is
to
r
t
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n
w
i
ll
b
e
em
itted
f
r
o
m
ac
cu
r
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lcu
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.
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w
e
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er
,
th
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n
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elp
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m
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en
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r
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it
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l
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lated
i
n
t
h
e
p
r
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g
r
a
m
.
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m
th
at
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le,
w
e
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n
co
n
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d
e
th
at
th
er
e
ar
e
3
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ata
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h
2
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ailed
d
ata.
T
h
is
2
d
ata
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o
t
t
h
e
d
if
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er
en
t
r
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lt
f
r
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m
e
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p
er
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e
n
tis
t
a
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y
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.
Fro
m
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9
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ab
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e
r
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w
ill
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lcu
late
i
n
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in
m
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eter
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I
t
h
as
ac
cu
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ac
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9
4
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2
%.
I
n
th
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s
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esear
ch
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ax
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Den
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Den
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p
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
0
:
521
-
529
528
RE
F
E
R
E
NC
E
S
[1
]
M
in
istry
o
f
He
a
lt
h
,
“
Re
se
a
rc
h
o
n
F
u
n
d
a
m
e
n
tal
He
a
lt
h
2
0
0
7
”
,
N
a
ti
o
n
a
l
Rep
o
rt
2
0
0
7
,
2
0
0
7
.
[2
]
M
in
istry
o
f
He
a
lt
h
,
“
Re
se
a
rc
h
o
n
F
u
n
d
a
m
e
n
tal
He
a
lt
h
2
0
1
3
”
,
N
a
ti
o
n
a
l
Rep
o
rt
2
0
13
,
2
0
1
3
.
[3
]
S
.
Na
jee
b
,
e
t
a
l
.
,
"
Eff
i
c
a
c
y
o
f
En
a
m
e
l
M
a
tri
x
De
riv
a
ti
v
e
in
V
it
a
l
P
u
lp
T
h
e
ra
p
y
:
A
Re
v
ie
w
o
f
L
it
e
r
a
tu
re
,
"
Ira
n
ia
n
En
d
o
d
o
n
ti
c
J
o
u
rn
a
l,
v
o
l.
1
2
,
n
o
.
3
,
p
p
.
2
6
9
-
2
7
5
,
2
0
1
7
.
[4
]
No
w
ick
a
,
e
t
a
l
.
,
"
Cli
n
ica
l
a
n
d
Histo
lo
g
ica
l
Ev
a
lu
a
ti
o
n
o
f
Dire
c
t
P
u
l
p
Ca
p
p
in
g
o
n
Hu
m
a
n
P
u
l
p
T
issu
e
Us
in
g
a
De
n
ti
n
A
d
h
e
siv
e
S
y
ste
m
,
"
Bi
o
M
e
d
Res
e
a
rc
h
In
ter
n
a
ti
o
n
a
l,
v
o
l.
2
0
1
6
,
2
0
1
6
.
[5
]
J.
-
B.
S
o
u
ro
n
,
e
t
a
l
.
,
"
P
u
l
p
Ce
ll
T
ra
c
k
in
g
b
y
Ra
d
io
n
u
c
li
d
e
Im
a
g
in
g
f
o
r
De
n
tal
T
issu
e
En
g
in
e
e
rin
g
,
"
T
IS
S
UE
ENGINEE
RING:
Pa
rt
C,
v
o
l.
2
0
,
n
o
.
3
,
2
0
1
4
.
[6
]
S
.
P
u
sp
it
a
,
e
t
a
l
.
,
"
Ne
stin
Ex
p
re
ss
io
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o
f
Ex
p
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d
P
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f
ter
Di
re
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t
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lp
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p
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y
Ca
lciu
m
H
y
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ro
x
id
e
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n
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P
late
let
Ric
h
P
las
m
a
,
"
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r.
J
.
De
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t.
,
v
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l.
1
0
,
n
o
.
3
,
p
p
.
3
4
1
-
3
4
4
,
2
0
1
6
.
[7
]
M
.
L
ip
sk
i,
e
t
a
l
.
,
"
Fa
c
to
rs
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ff
e
c
ti
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tc
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me
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o
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sin
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,
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n
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l
Or
a
l
In
v
e
stig
a
ti
o
n
s,
2
0
1
7
.
[8
]
J.
L
o
p
e
z
-
L
o
p
e
z
,
e
t
a
l
.
,
"
Co
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p
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sy
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tri
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m
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lar
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n
d
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x
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p
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tatio
n
(Us
in
g
d
e
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tal
p
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n
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ra
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ic rad
io
g
ra
p
h
s),"
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e
d
Or
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l
P
a
to
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l
Cir
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c
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l
,
v
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1
7
,
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o
.
4
,
p
p
.
e
6
2
4
-
e
6
3
2
,
2
0
1
2
.
[9
]
Jin
-
W
o
o
Ch
o
i,
W
o
n
-
Je
o
n
g
Ha
n
,
Eu
n
-
Ky
u
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g
Kim
,
'
I
m
a
g
e
e
n
h
a
n
c
e
m
e
n
t
o
f
d
ig
it
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l
p
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riap
ica
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ra
d
i
o
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ra
p
h
s
a
c
c
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rd
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g
to
d
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n
o
stic tas
k
s'
,
Ima
g
in
g
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c
ien
c
e
in
De
n
ti
stry
,
4
4
,
3
1
-
35
,
2
0
1
4
.
[1
0
]
L
i
G
,
Yo
sh
iu
ra
K,
W
e
lan
d
e
r
U,
S
h
i
X
Q
,
M
c
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v
id
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D,
'
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tec
t
io
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o
f
a
p
p
r
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x
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a
l
c
a
ries
in
d
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tal
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ra
p
h
s
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e
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o
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n
d
a
f
ter
c
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rre
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ti
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n
f
o
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t
ten
u
a
ti
o
n
a
n
d
v
isu
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l
re
sp
o
n
se
.
A
n
in
v
it
ro
stu
d
y
'
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n
to
ma
x
il
lo
f
a
c
Ra
d
io
l
o
g
y
3
1
,
113
-
16
,
2
0
0
2
.
[1
1
]
L
i
G
,
En
g
strö
m
P
E,
W
e
lan
d
e
r
U
.
,
'
M
e
a
su
re
m
e
n
t
a
c
c
u
ra
c
y
o
f
m
a
r
g
in
a
l
b
o
n
e
lev
e
l
in
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ig
it
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l
ra
d
io
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p
h
s
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n
d
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it
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t
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c
o
d
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n
g
'
,
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S
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a
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d
1
0
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,
2
5
4
-
58
,
2
0
0
7
.
[1
2
]
S
h
i
X
Q
a
n
d
L
i
G
,
'
De
te
c
ti
o
n
a
c
c
u
ra
c
y
o
f
a
p
p
ro
x
ima
l
c
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rie
s
b
y
b
lac
k
-
a
n
d
-
w
h
it
e
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n
d
c
o
lo
r
-
c
o
d
e
d
d
ig
it
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l
ra
d
io
g
ra
p
h
s'
,
O
ra
l
M
e
d
Or
a
l
P
a
th
o
l
Or
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l
Ra
d
io
l
En
d
o
d
1
0
7
(4
3
3
-
4
3
6
)
,
2
0
0
9
.
[1
3
]
K
a
n
tap
a
n
it
,
e
t
.
a
l
.
,
"
De
n
ta
l
c
a
ri
e
s
les
io
n
s
d
e
tec
ti
o
n
u
sin
g
d
e
fo
r
ma
b
le
tem
p
la
tes
,
"
T
h
e
2
0
0
1
IE
EE
In
tern
a
ti
o
n
a
l
S
y
m
p
o
siu
m
o
n
Circu
it
s a
n
d
S
y
ste
m
s,
2
0
0
1
.
[1
4
]
O
p
re
a
,
S
tef
a
n
,
e
t
a
l
.
"
Ima
g
e
p
ro
c
e
ss
in
g
tec
h
n
iq
u
e
s
u
se
d
fo
r
d
e
n
t
a
l
x
-
ra
y
ima
g
e
a
n
a
lys
is,
"
3
1
st
In
tern
a
ti
o
n
a
l
S
p
ri
n
g
S
e
m
in
a
r
o
n
El
e
c
tro
n
ics
T
e
c
h
n
o
lo
g
y
2
0
0
8
,
2
0
0
8
.
[1
5
]
S
a
tt
a
r,
F
a
ro
o
k
a
n
d
Ka
rra
y
,
F
a
k
h
ri
,
"
De
n
ta
l
X
-
R
a
y
Ima
g
e
S
e
g
m
e
n
ta
ti
o
n
a
n
d
O
b
jec
t
De
tec
ti
o
n
Ba
se
d
o
n
P
h
a
se
Co
n
g
r
u
e
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e
,
"
9
t
h
i
n
tern
a
ti
o
n
a
l
c
o
n
f
e
r
e
n
c
e
o
n
Im
a
g
e
A
n
a
l
y
sis a
n
d
Re
c
o
g
n
it
io
n
,
2
0
1
2
.
[1
6
]
Ra
d
,
A
b
d
o
lv
a
h
a
b
E
h
sa
n
i,
e
t
a
l
.
,
'
Dig
it
a
l
De
n
tal
X
-
Ra
y
I
m
a
g
e
S
e
g
m
e
n
tatio
n
a
n
d
F
e
a
tu
re
Ex
trac
ti
o
n
'
,
T
EL
KOM
NIKA
In
d
o
n
e
si
a
n
J
o
u
rn
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l
o
f
El
e
c
trica
l
En
g
in
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e
rin
g
,
1
1
(
6
),
3
1
0
9
-
14
,
2
0
1
3
.
[1
7
]
L
ira,
P
e
d
ro
He
n
riq
u
e
M
a
rq
u
e
s,
e
t
a
l
.
,
'
De
n
tal
R
-
Ra
y
I
m
a
g
e
S
e
g
m
e
n
tatio
n
Us
in
g
Tex
tu
re
Re
c
o
g
n
it
io
n
'
,
IEE
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ti
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Ame
ric
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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C
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m
p
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n
g
I
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N:
2088
-
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(
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529
B
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RAP
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AUTH
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la
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Riy
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M
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De
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Un
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G
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M
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De
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k
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Evaluation Warning : The document was created with Spire.PDF for Python.