Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study

10.2196/25165

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Bibliographic Details
Main Authors:	Betzler, Bjorn Kaijun, Yang, Henrik Hee Seung, Thakur, Sahil, Yu, Marco, Quek, Ten Cheer, Da Soh, Zhi, Lee, Geunyoung, Tham, Yih-Chung, Wong, Tien Yin, Rim, Tyler Hyungtaek, Cheng, Ching-Yu
Other Authors:	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
Format:	Review
Published:	JMIR Publications Inc. 2022
Subjects:	Artificial intelligence Deep learning Gender Ophthalmology Retina
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/232429
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-232429
record_format	dspace
spelling	sg-nus-scholar.10635-2324292024-11-15T00:30:03Z Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study Betzler, Bjorn Kaijun Yang, Henrik Hee Seung Thakur, Sahil Yu, Marco Quek, Ten Cheer Da Soh, Zhi Lee, Geunyoung Tham, Yih-Chung Wong, Tien Yin Rim, Tyler Hyungtaek Cheng, Ching-Yu DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) DUKE-NUS MEDICAL SCHOOL OPHTHALMOLOGY Artificial intelligence Deep learning Gender Ophthalmology Retina 10.2196/25165 JMIR Medical Informatics 9 8 e25165 2022-10-12T08:04:02Z 2022-10-12T08:04:02Z 2021-08-17 Review Betzler, Bjorn Kaijun, Yang, Henrik Hee Seung, Thakur, Sahil, Yu, Marco, Quek, Ten Cheer, Da Soh, Zhi, Lee, Geunyoung, Tham, Yih-Chung, Wong, Tien Yin, Rim, Tyler Hyungtaek, Cheng, Ching-Yu (2021-08-17). Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study. JMIR Medical Informatics 9 (8) : e25165. ScholarBank@NUS Repository. https://doi.org/10.2196/25165 2291-9694 https://scholarbank.nus.edu.sg/handle/10635/232429 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ JMIR Publications Inc. Scopus OA2021
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Artificial intelligence Deep learning Gender Ophthalmology Retina
spellingShingle	Artificial intelligence Deep learning Gender Ophthalmology Retina Betzler, Bjorn Kaijun Yang, Henrik Hee Seung Thakur, Sahil Yu, Marco Quek, Ten Cheer Da Soh, Zhi Lee, Geunyoung Tham, Yih-Chung Wong, Tien Yin Rim, Tyler Hyungtaek Cheng, Ching-Yu Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study
description	10.2196/25165
author2	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
author_facet	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) Betzler, Bjorn Kaijun Yang, Henrik Hee Seung Thakur, Sahil Yu, Marco Quek, Ten Cheer Da Soh, Zhi Lee, Geunyoung Tham, Yih-Chung Wong, Tien Yin Rim, Tyler Hyungtaek Cheng, Ching-Yu
format	Review
author	Betzler, Bjorn Kaijun Yang, Henrik Hee Seung Thakur, Sahil Yu, Marco Quek, Ten Cheer Da Soh, Zhi Lee, Geunyoung Tham, Yih-Chung Wong, Tien Yin Rim, Tyler Hyungtaek Cheng, Ching-Yu
author_sort	Betzler, Bjorn Kaijun
title	Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study
title_short	Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study
title_full	Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study
title_fullStr	Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study
title_full_unstemmed	Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study
title_sort	gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: retrospective cross-sectional study
publisher	JMIR Publications Inc.
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/232429
_version_	1821182616335810560

Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study

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