Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study

BACKGROUND: Deep learning algorithms have been built for the detection of systemic and eye diseases based on fundus photographs. The retina possesses features that can be affected by gender differences, and the extent to which these features are captured via photography differs depending on the reti...

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Detalles Bibliográficos
Autores principales: Betzler, Bjorn Kaijun, Yang, Henrik Hee Seung, Thakur, Sahil, Yu, Marco, Quek, Ten Cheer, Soh, Zhi Da, Lee, Geunyoung, Tham, Yih-Chung, Wong, Tien Yin, Rim, Tyler Hyungtaek, Cheng, Ching-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408758/
https://www.ncbi.nlm.nih.gov/pubmed/34402800
http://dx.doi.org/10.2196/25165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408758/
https://www.ncbi.nlm.nih.gov/pubmed/34402800
http://dx.doi.org/10.2196/25165

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