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2
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[
3
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.
R
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[
4
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.
A
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AI
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[
5
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.
Un
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els
Evaluation Warning : The document was created with Spire.PDF for Python.
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6
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[
7
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R
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[
8
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.
C
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[
9
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RE
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2
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1
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Sy
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[
1
4
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,
[
2
3
].
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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52
In
d
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J
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C
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Sci
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Vo
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41
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No
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3
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Fig
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1
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des
cr
iptio
n a
nd
qu
a
lity
co
ntr
o
l
T
h
e
d
ataset
c
o
n
s
is
ts
o
f
p
air
e
d
ch
est
X
-
r
ay
s
an
d
f
r
ee
-
tex
t
r
ep
o
r
ts
f
r
o
m
th
e
I
n
d
ian
a
u
n
iv
e
r
s
ity
ch
est
X
-
r
ay
co
llectio
n
(
Op
en
-
I
)
,
w
h
ich
in
clu
d
es
7
,
4
7
0
im
ag
es
an
d
co
r
r
esp
o
n
d
in
g
s
tr
u
ctu
r
ed
r
ad
i
o
lo
g
y
r
ep
o
r
ts
[
2
4
]
.
E
ac
h
r
ep
o
r
t
is
d
iv
id
ed
i
n
to
s
ec
tio
n
s
(
in
d
icatio
n
,
f
in
d
in
g
s
,
im
p
r
ess
io
n
,
co
m
p
a
r
is
o
n
,
tag
s
)
,
en
ab
lin
g
ta
r
g
ete
d
an
aly
s
is
.
A
q
u
ality
ass
u
r
an
ce
p
r
o
to
co
l
f
ilter
ed
o
u
t
r
ec
o
r
d
s
m
is
s
in
g
ess
en
tial
s
ec
tio
n
s
o
r
co
n
tain
in
g
m
in
im
al
co
n
ten
t,
f
o
llo
win
g
p
r
io
r
r
ad
io
lo
g
y
r
e
p
o
r
t
g
en
er
atio
n
s
tu
d
ies
[
2
5
]
.
Af
ter
f
ilter
in
g
,
7
,
4
1
5
h
ig
h
-
q
u
ality
im
ag
e
-
tex
t p
air
s
r
em
ain
ed
f
o
r
t
r
ain
in
g
an
d
e
v
alu
atio
n
.
2
.
2
.
2
.
Da
t
a
pa
rt
it
io
nin
g
T
h
e
d
ataset
was
s
p
lit
s
tr
atif
ied
b
y
ca
s
e:
8
0
%
f
o
r
tr
ai
n
in
g
a
n
d
2
0
%
f
o
r
v
alid
atio
n
,
f
o
llo
win
g
s
tan
d
ar
d
p
r
ac
tices
in
m
ed
ical
AI
r
esear
ch
[
2
6
]
.
T
h
is
en
s
u
r
es
th
at
ev
a
lu
atio
n
is
p
er
f
o
r
m
ed
o
n
u
n
s
ee
n
ca
s
es,
p
r
o
v
id
in
g
r
eliab
le
esti
m
ates o
f
g
en
er
aliz
atio
n
p
er
f
o
r
m
an
ce
.
2
.
2
.
3
.
E
x
plo
ra
t
o
ry
da
t
a
a
na
l
y
s
is
T
h
e
d
is
tr
ib
u
tio
n
o
f
co
m
m
o
n
p
ath
o
lo
g
ies
an
d
r
ep
o
r
t
co
n
ten
t
was
v
is
u
alize
d
to
d
etec
t
d
ataset
im
b
alan
ce
.
As
ex
p
ec
ted
,
a
h
i
g
h
f
r
e
q
u
en
c
y
o
f
n
o
r
m
al
ca
s
e
s
was
o
b
s
er
v
ed
,
with
p
h
r
ases
s
u
ch
as
n
o
ac
u
te
ca
r
d
io
p
u
lm
o
n
ar
y
ab
n
o
r
m
ality
d
o
m
in
atin
g
I
m
p
r
ess
io
n
s
ec
tio
n
s
,
co
n
s
is
ten
t w
ith
lar
g
e
h
o
s
p
i
tal
d
atasets
[
2
4
]
.
2
.
3
.
P
re
pro
ce
s
s
ing
pip
eline
2
.
3
.
1
.
I
m
a
g
e
s
t
a
nd
a
rdiza
t
io
n
All c
h
est X
-
r
ay
s
wer
e
s
tan
d
ar
d
ized
f
o
r
C
NN
in
p
u
t:
−
Gr
ay
s
ca
le
im
ag
es we
r
e
co
n
v
e
r
ted
to
3
-
c
h
an
n
el
R
GB
.
−
R
esized
to
2
2
4
×2
2
4
p
ix
els u
s
i
n
g
b
icu
b
ic
in
ter
p
o
latio
n
.
−
No
r
m
alize
d
with
I
m
a
g
eNe
t m
ea
n
(
[
0
.
4
8
5
,
0
.
4
5
6
,
0
.
4
0
6
]
)
an
d
s
td
(
[
0
.
2
2
9
,
0
.
2
2
4
,
0
.
2
2
5
]
)
[
2
7
]
,
[
2
8
]
.
2
.
3
.
2
.
T
ex
t
pro
ce
s
s
ing
a
nd
t
o
k
eniza
t
io
n
R
ep
o
r
ts
wer
e
s
eg
m
en
ted
in
to
in
d
icatio
n
,
f
in
d
in
g
s
,
an
d
im
p
r
ess
io
n
,
ea
ch
ca
r
r
y
in
g
s
p
ec
if
ic
clin
ical
in
f
o
r
m
atio
n
[
2
9
]
.
Miss
in
g
s
ec
tio
n
s
wer
e
r
ep
lace
d
with
b
lan
k
tex
t.
T
h
e
r
etain
e
d
tex
t
was
lo
wer
ca
s
ed
,
ex
t
r
a
wh
ites
p
ac
e
r
em
o
v
ed
,
an
d
to
k
e
n
ized
u
s
in
g
B
E
R
T
W
o
r
d
Piece
to
k
en
izer
.
T
h
e
[
C
L
S]
to
k
en
e
m
b
ed
d
in
g
(
7
6
8
-
D)
was e
x
tr
ac
ted
f
r
o
m
a
p
r
etr
ai
n
e
d
B
E
R
T
en
co
d
er
f
o
r
ea
ch
s
ec
tio
n
[
3
0
]
.
2
.
4
.
F
e
a
t
ure
ex
t
r
a
ct
io
n f
r
a
mewo
rk
2
.
4
.
1
.
Vis
ua
l
f
ea
t
ure
ex
t
ra
c
t
i
o
n
Dee
p
co
n
v
o
lu
tio
n
al
n
eu
r
al
n
etwo
r
k
s
h
av
e
d
em
o
n
s
tr
ated
s
tr
o
n
g
p
e
r
f
o
r
m
an
ce
i
n
m
ed
i
ca
l
im
ag
e
an
aly
s
is
task
s
,
m
ak
in
g
th
em
s
u
itab
le
as f
ea
tu
r
e
ex
tr
ac
t
o
r
s
in
r
ad
io
lo
g
y
-
o
r
ien
ted
p
i
p
elin
es [
3
1
]
.
-
R
esNet
-
5
0
:
last
co
n
v
o
lu
tio
n
al
ac
tiv
atio
n
f
r
o
m
lay
er
4
[
-
1
]
.
co
n
v
2
→
g
lo
b
al
av
e
r
ag
e
p
o
o
l
in
g
→
2
0
4
8
-
D
v
ec
to
r
.
-
E
f
f
icien
tNet
-
B
0
: la
s
t c
o
n
v
o
lu
t
io
n
al
lay
er
f
ea
t
u
r
es [
-
1
]
→
g
lo
b
al
av
er
ag
e
p
o
o
lin
g
→
1
2
8
0
-
D
v
ec
to
r
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
A
mu
ltimo
d
a
l fra
mewo
r
k
fo
r
ex
p
la
in
a
b
le
c
h
est x
-
r
a
y
r
ep
o
r
t g
en
era
tio
n
…
(
H
a
mza
C
h
eh
ili
)
1063
T
h
ese
v
ec
to
r
s
wer
e
co
n
ca
ten
ated
→
3
3
2
8
-
D
jo
in
t
v
is
u
al
em
b
ed
d
in
g
[
2
1
]
,
[
2
2
]
,
[
1
4
]
,
[
3
2
]
.
Gr
ad
-
C
AM
h
o
o
k
s
wer
e
r
eg
is
ter
ed
f
o
r
p
o
s
t
-
h
o
c
ex
p
lain
ab
ilit
y
an
al
y
s
is
[
1
4
]
.
2
.
4
.
2
.
T
ex
t
ua
l
f
ea
t
ure
e
x
t
ra
c
t
io
n
[
C
L
S]
em
b
ed
d
i
n
g
s
f
r
o
m
in
d
i
ca
tio
n
an
d
f
in
d
in
g
s
wer
e
L
2
-
n
o
r
m
alize
d
an
d
co
n
ca
ten
ated
→
1
5
3
6
-
D
tex
t e
m
b
ed
d
i
n
g
[
3
3
]
.
2
.
4
.
3
.
M
ultim
o
da
l
f
ea
t
ure
f
u
s
io
n
Vis
u
al
(
3
3
2
8
-
D)
+
T
e
x
tu
al
(
1
5
3
6
-
D)
→
4
8
6
4
-
D
m
u
ltimo
d
a
l
f
ea
tu
r
e
v
ec
to
r
,
s
er
v
in
g
as
in
p
u
t
to
t
h
e
tr
an
s
f
o
r
m
er
d
ec
o
d
e
r
f
o
r
g
e
n
er
atin
g
th
e
I
m
p
r
ess
io
n
s
ec
tio
n
[
1
3
]
,
[
3
4
]
.
2
.
5
.
M
o
del
t
ra
ini
ng
a
nd
o
pti
m
iza
t
io
n
2
.
5
.
1
.
T
ra
ns
f
o
rm
er
a
rc
hite
ct
ure
s
elec
t
io
n
Gem
m
a
-
3
1
B
:
d
ec
o
d
er
-
o
n
ly
tr
an
s
f
o
r
m
er
(
~1
B
p
ar
am
eter
s
)
,
2
6
lay
er
s
,
h
id
d
en
s
ize
1
1
5
2
,
4
atten
tio
n
h
ea
d
s
,
3
2
,
0
0
0
-
to
k
en
co
n
te
x
t w
in
d
o
w
[
3
5
]
.
Gem
m
a
-
3
1
B
with
L
o
R
A
as sh
o
wn
in
T
ab
le
2
.
2
.
5
.
2
.
L
o
RA
f
ine
-
t
un
ing
-
L
o
R
A:
ap
p
lied
to
atten
tio
n
p
r
o
jectio
n
s
q
_
p
r
o
j,
k
_
p
r
o
j,
v
_
p
r
o
j,
o
_
p
r
o
j.
-
R
an
k
r
=8
,
s
ca
lin
g
α
=1
6
,
d
r
o
p
o
u
t=0
.
1
.
-
On
ly
L
o
R
A
p
ar
am
eter
s
wer
e
t
r
ain
ab
le
→
~0
.
6
5
M
p
ar
a
m
eter
s
[
3
6
]
.
2
.
5
.
3
.
T
ra
ini
ng
pro
t
o
co
l a
nd
hy
perpa
ra
m
et
er
s
-
1
0
ep
o
ch
s
,
b
atch
s
ize
1
6
.
-
L
ea
r
n
in
g
r
ate
=
5
×1
0
⁻⁵,
v
alid
a
tio
n
ev
er
y
1
0
0
s
tep
s
.
-
Nu
cleu
s
s
am
p
lin
g
(
to
p
-
p
=0
.
9
,
tem
p
er
atu
r
e=
0
.
7
)
→
m
a
x
5
1
2
to
k
en
s
d
u
r
i
n
g
r
e
p
o
r
t
g
en
er
atio
n
.
T
ab
le
2
.
Fin
e
-
tu
n
in
g
c
o
n
f
ig
u
r
a
tio
n
f
o
r
Gem
m
a
-
3
1
B
with
L
o
R
A
P
a
r
a
m
e
t
e
r
V
a
l
u
e
To
t
a
l
p
a
r
a
m
e
t
e
r
s
~1
b
i
l
l
i
o
n
T
r
a
i
n
a
b
l
e
p
a
r
a
m
e
t
e
r
s
(
L
o
R
A
)
~
0
.
6
5
m
i
l
l
i
o
n
Lo
R
A
r
a
n
k
(r)
8
Lo
R
A
a
l
p
h
a
16
Lo
R
A
d
r
o
p
o
u
t
0
.
1
Ta
r
g
e
t
l
a
y
e
r
s
q
_
p
r
o
j
,
k
_
p
r
o
j
,
v
_
p
r
o
j
,
o
_
p
r
o
j
O
p
t
i
m
i
z
e
r
A
d
a
m
W
L
e
a
r
n
i
n
g
r
a
t
e
5e
-
5
B
a
t
c
h
s
i
z
e
16
E
p
o
c
h
s
10
E
v
a
l
u
a
t
i
o
n
s
t
e
p
s
1
0
0
G
e
n
e
r
a
t
i
o
n
t
e
m
p
e
r
a
t
u
r
e
0
.
7
T
o
p
-
p
(
n
u
c
l
e
u
s
s
a
m
p
l
i
n
g
)
0
.
9
M
a
x
g
e
n
e
r
a
t
i
o
n
t
o
k
e
n
s
5
1
2
2
.
6
.
E
v
a
lua
t
i
o
n a
nd
ex
pla
ina
bil
it
y
2
.
6
.
1
.
Repo
rt
g
ener
a
t
i
o
n pro
t
o
co
l
-
R
ep
o
r
ts
wer
e
g
en
er
ated
f
r
o
m
th
e
2
0
% v
alid
atio
n
s
et.
-
E
v
alu
atio
n
m
etr
ics:
B
L
E
U
-
1
t
o
B
L
E
U
-
4
[
3
7
]
,
R
OUGE
-
1
/2
/
L
[
3
8
]
.
B
E
R
T
Sco
r
e
[
3
9
]
.
2
.
6
.
2
.
G
ra
d
-
CAM
inte
g
ra
t
io
n
-
Gr
ad
-
C
AM
ap
p
lied
to
C
NN
b
ac
k
b
o
n
es
to
g
en
er
ate
h
ea
t
m
ap
s
h
ig
h
lig
h
tin
g
clin
ically
r
elev
an
t
r
eg
io
n
s
(
Fig
u
r
e
2
)
.
-
E
x
am
p
le
clin
ical
in
ter
p
r
etatio
n
:
I
n
1
0
0
v
alid
atio
n
im
a
g
es,
r
eg
io
n
s
co
r
r
esp
o
n
d
i
n
g
t
o
co
n
s
o
lid
atio
n
,
ca
r
d
io
m
eg
aly
,
o
r
p
le
u
r
al
ef
f
u
s
io
n
wer
e
c
o
n
s
is
ten
tly
h
ig
h
lig
h
ted
,
co
n
f
ir
m
i
n
g
a
lig
n
m
en
t
with
r
ep
o
r
ted
im
p
r
ess
io
n
s
.
2
.
6
.
3
.
Clini
ca
l
v
a
lid
a
t
io
n pro
t
o
co
l
T
o
ev
alu
ate
clin
ical
u
tili
ty
,
a
s
tr
u
ctu
r
ed
ass
ess
m
en
t
was
co
n
d
u
cted
o
n
5
0
r
an
d
o
m
ly
s
elec
t
ed
r
ep
o
r
ts
.
A
s
en
io
r
ex
p
er
t
(
p
u
lm
o
n
o
lo
g
is
t)
s
co
r
ed
ea
ch
g
en
er
ated
i
m
p
r
ess
io
n
o
n
a
s
ca
le
o
f
0
%
to
1
0
0
%
b
ased
o
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
41
,
No
.
3
,
Ma
r
ch
20
2
6
:
1
0
6
0
-
1
0
6
9
1064
d
iag
n
o
s
tic
ac
cu
r
ac
y
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d
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o
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io
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al
p
h
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asin
g
.
A
s
co
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f
<
7
5
%
was
d
ef
in
ed
as
th
e
th
r
esh
o
ld
f
o
r
clin
ical
ac
ce
p
tab
ilit
y
.
Fig
u
r
e
2
.
Gr
a
d
-
C
AM
Vis
u
aliz
atio
n
f
o
r
R
esNet5
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icie
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tNetB
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3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
Q
ua
ntit
a
t
iv
e
perf
o
rma
nce
a
na
ly
s
is
Ou
r
f
in
e
-
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e
d
Gem
m
a
-
3
1
B
m
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was
ev
alu
ated
o
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v
al
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et
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3
0
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ad
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etr
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e
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ical
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atio
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,
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a
b
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u
ltid
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io
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aly
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f
m
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el
p
er
f
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m
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ce
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estab
li
s
h
ed
b
en
ch
m
ar
k
s
f
r
o
m
Op
en
-
I
d
ataset
.
T
ab
le
3
p
r
esen
ts
th
e
co
m
p
r
eh
en
s
iv
e
p
er
f
o
r
m
a
n
ce
ev
alu
atio
n
r
esu
lts
.
T
h
e
B
L
E
U
s
co
r
e
p
r
o
g
r
ess
io
n
an
aly
s
is
r
ev
ea
ls
a
ch
ar
ac
ter
is
tic
p
atter
n
in
m
ed
ical
tex
t
g
en
er
atio
n
[
3
7
]
.
T
h
e
B
L
E
U
-
1
s
co
r
e
o
f
0
.
4
3
7
d
em
o
n
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tr
at
es
s
tr
o
n
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u
n
ig
r
am
p
r
ec
is
io
n
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wh
ile
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e
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r
a
d
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al
d
ec
r
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e
to
B
L
E
U
-
4
(
0
.
2
7
9
)
r
ef
lects
th
e
n
atu
r
al
co
m
p
lex
ity
o
f
m
ain
tain
in
g
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f
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r
-
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r
am
m
atc
h
es
in
m
ed
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ter
m
in
o
lo
g
y
,
alig
n
i
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with
o
b
s
er
v
atio
n
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th
at
m
ed
ical
tex
ts
r
eq
u
ir
e
m
o
r
e
f
lex
ib
le
ev
alu
atio
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ap
p
r
o
ac
h
es d
u
e
to
ter
m
in
o
lo
g
i
ca
l v
ar
iatio
n
s
[
4
0
]
.
T
h
e
R
OUGE
-
L
F1
s
co
r
e
o
f
0
.
5
1
9
d
em
o
n
s
tr
ates
s
tr
o
n
g
ca
p
ab
ilit
y
i
n
m
ain
tain
i
n
g
s
eq
u
en
ce
co
h
er
en
ce
,
wh
ic
h
is
ess
en
tial
f
o
r
g
en
e
r
atin
g
s
tr
u
ctu
r
ed
r
a
d
io
lo
g
ical
im
p
r
ess
io
n
s
[
3
8
]
.
T
h
e
ME
T
E
OR
s
co
r
e
o
f
0
.
5
1
4
co
n
f
i
r
m
s
s
ig
n
if
ican
t
s
em
an
tic
alig
n
m
en
t,
in
d
icatin
g
ef
f
ec
tiv
e
s
y
n
o
n
y
m
an
d
p
ar
a
p
h
r
ase
re
co
g
n
itio
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[
4
1
]
.
Fu
r
th
er
m
o
r
e,
th
e
h
ig
h
B
E
R
T
Sco
r
e
F
1
v
alu
e
(
0
.
9
1
8
)
in
d
icate
s
p
r
o
f
o
u
n
d
s
em
an
tic
u
n
d
er
s
tan
d
i
n
g
o
f
m
ed
ical
co
n
ten
t
[
3
9
]
,
s
u
g
g
esti
n
g
th
at
th
e
m
o
d
el
ac
h
iev
es
h
ig
h
clin
ical
in
f
o
r
m
atio
n
d
en
s
ity
.
T
h
ese
r
esu
lts
ar
e
co
n
s
is
ten
t
with
to
p
-
p
er
f
o
r
m
i
n
g
ar
c
h
i
tectu
r
es
r
ep
o
r
ted
in
r
ec
en
t
m
e
d
i
ca
l
tex
t
g
en
er
atio
n
s
tu
d
ies [
4
2
]
,
th
o
u
g
h
f
u
r
th
er
v
a
lid
atio
n
o
n
lar
g
er
d
atasets
is
r
eq
u
ir
ed
to
co
n
f
ir
m
th
is
co
n
s
is
ten
cy
ac
r
o
s
s
d
iv
er
s
e
clin
ical
s
ettin
g
s
.
T
ab
le
3
.
Per
f
o
r
m
an
ce
ev
alu
ati
o
n
m
etr
ics
f
o
r
f
in
e
-
t
u
n
ed
GE
MM
A
-
3
1
B
M
e
t
r
i
c
s
B
L
E
U
-
1
B
L
E
U
-
2
B
L
E
U
-
3
B
L
E
U
-
4
R
O
U
G
E
-
L
(
F
1
)
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E
T
E
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R
S
c
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r
e
0
.
4
3
6
6
0
.
3
8
2
4
0
.
3
3
9
9
0
.
2
7
8
9
0
.
5
1
9
0
0
.
5
1
3
7
3.
2
.
F
ine
-
t
un
ing
im
pa
ct
a
s
s
ess
m
ent
T
h
e
ef
f
ec
tiv
en
ess
o
f
L
o
R
A
f
in
e
-
tu
n
in
g
f
o
r
m
e
d
ical
d
o
m
ai
n
ad
ap
tatio
n
was
d
em
o
n
s
tr
ate
d
th
r
o
u
g
h
co
m
p
r
eh
e
n
s
iv
e
b
ef
o
r
e
-
an
d
-
af
t
er
p
er
f
o
r
m
an
ce
c
o
m
p
a
r
is
o
n
,
v
alid
atin
g
th
e
a
p
p
r
o
ac
h
f
o
r
s
p
ec
ialized
m
ed
ical
ap
p
licatio
n
s
.
T
ab
le
4
p
r
esen
ts
th
e
d
etailed
co
m
p
a
r
is
o
n
r
esu
l
ts
.
U
n
p
r
ec
ed
en
ted
B
L
E
U
-
4
i
m
p
r
o
v
e
m
en
t
o
f
o
v
er
2
5
0
0
%
d
em
o
n
s
tr
ates
th
e
m
o
d
el's
en
h
an
ce
d
ab
ilit
y
to
m
ain
t
ain
clin
ical
ter
m
in
o
lo
g
y
p
atte
r
n
s
.
T
h
ese
r
esu
lts
s
u
p
p
o
r
t
th
e
u
s
e
o
f
L
o
R
A
f
o
r
a
d
ap
tin
g
lar
g
e
lan
g
u
ag
e
m
o
d
els
to
m
ed
ical
d
o
m
ai
n
s
wh
ile
m
ai
n
tain
in
g
co
m
p
u
tatio
n
al
e
f
f
icien
cy
[
3
6
]
.
3
.
3
.
Co
m
pa
ra
t
iv
e
perf
o
r
m
a
nce
a
na
ly
s
is
Ou
r
m
o
d
el
was
b
en
ch
m
ar
k
ed
ag
ain
s
t
estab
lis
h
ed
ar
ch
itectu
r
es
(
2
0
1
7
–
2
0
2
5
)
to
ev
alu
ate
its
p
er
f
o
r
m
an
ce
with
in
th
e
cu
r
r
en
t
s
tate
o
f
m
ed
ical
n
atu
r
al
lan
g
u
ag
e
g
en
er
atio
n
.
T
ab
le
5
p
r
esen
ts
th
e
co
m
p
ar
ativ
e
r
esu
lts
o
n
th
e
O
p
en
-
I
(
I
U
X
-
R
ay
)
d
atas
et.
Ou
r
m
o
d
el
ac
h
ie
v
es
co
m
p
etitiv
e
B
L
E
U
-
1
p
er
f
o
r
m
an
ce
an
d
r
ea
ch
es
th
e
h
ig
h
est
r
ep
o
r
ted
B
L
E
U
-
4
(
0
.
2
7
9
)
f
o
r
th
is
s
p
ec
if
ic
ev
alu
atio
n
s
ch
em
e.
T
h
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
A
mu
ltimo
d
a
l fra
mewo
r
k
fo
r
ex
p
la
in
a
b
le
c
h
est x
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r
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t g
en
era
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…
(
H
a
mza
C
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ili
)
1065
R
OUGE
-
L
F1
s
co
r
e
s
h
o
ws
a
s
ig
n
if
ican
t
im
p
r
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v
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t
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ted
b
aselin
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r
ep
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a
3
4
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5
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in
cr
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co
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p
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p
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r
ep
o
r
ts
.
T
h
e
ME
T
E
OR
s
co
r
e
in
d
icate
s
a
n
o
tab
le
g
ain
in
s
em
an
tic
s
im
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ity
,
s
u
g
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esti
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h
a
n
ce
d
ca
p
ab
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in
m
ed
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c
o
n
ce
p
t a
lig
n
m
en
t w
ith
in
th
e
s
co
p
e
o
f
th
is
co
m
p
ar
is
o
n
.
T
ab
le
4
.
Per
f
o
r
m
an
ce
co
m
p
a
r
i
s
o
n
b
ef
o
r
e
an
d
a
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ter
f
in
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-
t
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M
e
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B
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0
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6
+
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ER
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T
ab
le
5
.
C
o
m
p
a
r
ativ
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er
f
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s
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I
u
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ay
d
at
aset
M
o
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1
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4
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mer
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s
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o
f
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in
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le
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ataset
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m
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est
cli
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s
am
p
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s
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cib
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r
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ar
d
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aliza
tio
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an
d
r
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-
wo
r
ld
clin
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im
p
ac
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
41
,
No
.
3
,
Ma
r
ch
20
2
6
:
1
0
6
0
-
1
0
6
9
1066
4.
CO
NCLU
SI
O
N
T
h
is
s
tu
d
y
p
r
esen
ted
an
ex
p
lain
ab
le
m
u
ltimo
d
al
f
r
a
m
ewo
r
k
f
o
r
ch
est
X
-
r
ay
r
ep
o
r
t
g
en
er
a
tio
n
u
s
in
g
a
d
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C
NN
b
ac
k
b
o
n
e
an
d
a
L
o
R
A
-
f
in
e
-
tu
n
ed
Gem
m
a
-
3
m
o
d
el.
Qu
an
titativ
ely
,
th
e
f
r
am
e
wo
r
k
ac
h
iev
ed
h
ig
h
lin
g
u
is
tic
s
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s
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L
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4
=0
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2
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,
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OUGE
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5
1
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)
an
d
a
7
8
%
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ac
ce
p
tab
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r
ate,
with
6
4
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f
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ep
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ts
ac
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ie
v
in
g
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m
p
lete
p
r
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f
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al
e
q
u
iv
alen
ce
.
T
h
ese
m
etr
ics,
s
u
p
p
o
r
ted
b
y
Gr
ad
-
C
AM
v
is
u
al
ju
s
tific
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n
s
,
s
u
g
g
est th
e
s
y
s
tem
'
s
p
o
ten
tial a
s
a
r
eliab
le
s
ec
o
n
d
-
r
e
ad
er
ass
is
tan
t in
clin
ical
wo
r
k
f
lo
ws.
Desp
ite
th
ese
r
esu
lts
,
s
ev
er
al
lim
itatio
n
s
p
er
s
is
t.
First,
th
e
m
o
d
el
was
tr
ain
e
d
o
n
a
s
in
g
le
d
ataset
(
Op
en
-
I
)
,
r
e
s
t
r
i
c
t
i
n
g
g
en
er
aliza
b
ilit
y
ac
r
o
s
s
d
if
f
er
en
t
ac
q
u
is
itio
n
p
r
o
to
c
o
ls
.
Seco
n
d
,
wh
ile
clin
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u
tili
ty
was
q
u
an
titativ
ely
v
alid
ated
th
r
o
u
g
h
ex
p
e
r
t
s
co
r
in
g
,
th
e
p
ix
el
-
lev
el
ex
p
lain
ab
ilit
y
r
em
ai
n
s
q
u
alitativ
e.
T
h
e
ab
s
en
ce
o
f
au
to
m
ated
lo
ca
liz
atio
n
m
etr
ics,
s
u
ch
as
I
n
ter
s
e
ctio
n
o
v
er
Un
io
n
(
I
o
U)
,
p
r
ec
lu
d
es
an
o
b
jectiv
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s
tatis
t
ical
co
m
p
ar
is
o
n
o
f
v
is
u
al
in
ter
p
r
etatio
n
s
.
Fu
r
th
er
m
o
r
e,
th
e
clin
ical
v
alid
atio
n
was
lim
ite
d
to
a
s
in
g
le
d
o
m
ain
s
p
ec
ialis
t
(
p
u
lm
o
n
o
l
o
g
is
t)
an
d
a
m
o
d
est
s
am
p
le
s
ize;
th
u
s
,
th
ese
f
in
d
in
g
s
s
h
o
u
ld
b
e
v
iewe
d
as
p
r
elim
in
ar
y
i
n
d
icato
r
s
o
f
u
tili
ty
r
ath
er
t
h
an
u
n
iv
er
s
al
clin
ical
p
r
o
o
f
.
Fu
tu
r
e
wo
r
k
will
f
o
c
u
s
o
n
v
alid
atin
g
th
e
m
o
d
el
o
n
lar
g
er
d
atasets
(
MI
MI
C
-
C
XR
)
,
in
teg
r
atin
g
q
u
an
titativ
e
XAI
m
etr
ics
to
ass
es
s
lo
ca
lizatio
n
p
r
ec
is
io
n
,
an
d
ex
p
an
d
in
g
clin
ical
tr
ial
s
to
m
u
lti
-
r
ea
d
er
,
b
lin
d
ed
s
tu
d
ies
i
n
v
o
l
v
i
n
g
a
b
r
o
ad
er
p
a
n
el
o
f
r
ad
i
o
lo
g
is
ts
.
T
h
ese
s
tep
s
ar
e
es
s
en
tial to
tr
an
s
i
tio
n
th
e
f
r
am
ewo
r
k
f
r
o
m
a
r
esear
ch
to
o
l t
o
a
s
tatis
tically
v
alid
ated
clin
ical
ass
is
t
an
t.
ACK
NO
WL
E
DG
M
E
N
T
S
W
e
g
r
atef
u
lly
ac
k
n
o
wled
g
e
D
r
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