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1 Ergebnisse
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Gender prediction for a multiethnic population via deep lea..:
Betzler, Bjorn Kaijun
;
Yang, Henrik Hee Seung
;
Thakur, Sahil
...
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. , 2021
Link:
https://scholarbank.nus.edu.sg/handle/10635/232429
RT Journal T1
Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study
UL https://suche.suub.uni-bremen.de/peid=base-ftnunivsingapore:oai:scholarbank.nus.edu.sg:10635_232429&Exemplar=1&LAN=DE A1 Betzler, Bjorn Kaijun A1 Yang, Henrik Hee Seung A1 Thakur, Sahil A1 Yu, Marco A1 Quek, Ten Cheer A1 Da Soh, Zhi A1 Lee, Geunyoung A1 Tham, Yih-Chung A1 Wong, Tien Yin A1 Rim, Tyler Hyungtaek A1 Cheng, Ching-Yu PB JMIR Publications Inc. YR 2021 K1 Artificial intelligence K1 Deep learning K1 Gender K1 Ophthalmology K1 Retina JF 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 LK http://dx.doi.org/https://scholarbank.nus.edu.sg/handle/10635/232429 DO https://scholarbank.nus.edu.sg/handle/10635/232429 SF ELIB - SuUB Bremen
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