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Multi-channel Xception-based thyroid cancer detection frame..:

Xinyu Zhang (14029) ; Vincent C. S. Lee (11986467) ; Jia Rong (5963621)..
https://figshare.com/articles/figure/Multi-channel_Xception-based_thyroid_cancer_detection_framework_/18863142. , 2022

Link: https://doi.org/10.1371/journal.pone.0262128.g002

RT Journal
T1 <Title>Multi-channel Xception-based thyroid cancer detection framework</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18863142&Exemplar=1&LAN=DE
				
A1 Xinyu Zhang (14029)
A1 Vincent C. S. Lee (11986467)
A1 Jia Rong (5963621)
A1 Feng Liu (72874)
A1 Haoyu Kong (11986470)
YR 2022
K1 Medicine
K1 Cell Biology
K1 Biotechnology
K1 Cancer
K1 Space Science
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 world data sets
K1 unreliable human false
K1 thyroid cancer diagnosis
K1 thyroid cancer detection
K1 single input dual
K1 making decisions regarding
K1 double inputs dual
K1 aided diagnosis techniques
K1 aided diagnosis applications
K1 positive diagnostic rates
K1 machine learning techniques
K1 best fitting architecture
K1 diagnostic accuracy rate
K1 computed tomography scans
K1 clinicians &# 8217
K1 specific diagnostic design
K1 computed tomography
K1 specific design
K1 mortality rates
K1 deep learning
K1 channel architecture
K1 specific treatments
K1 ultrasound images
K1 treatment protocols
K1 reduce morbidity
K1 proposed framework
K1 prediction accuracy
K1 practical framework
K1 limitations due
K1 increased efficiency
K1 far lacking
K1 evaluation suggests
K1 channel architectures
K1 base structure
JF https://figshare.com/articles/figure/Multi-channel_Xception-based_thyroid_cancer_detection_framework_/18863142
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0262128.g002
DO https://doi.org/10.1371/journal.pone.0262128.g002
SF ELIB - SuUB Bremen

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