Chueh K.-MYI-TING HSIEHMa I.-HHOMER H. CHENSHENG-LUNG HUANG2021-09-022021-09-022020https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098727845&doi=10.1109%2fOECC48412.2020.9273562&partnerID=40&md5=e30504a1f2fe0f1a1831d74553c8ae47https://scholars.lib.ntu.edu.tw/handle/123456789/580837Using deep learning algorithm on retina OCT images, patient gender can be predicted with an accuracy of greater than 70%. With Grad-CAM visualization, it was found that the foveal structure is highly gender related. ? 2020 IEEE.CNN; deep learning; Grad-CAM; macula; Optical coherence tomographyLearning algorithms; Optical tomography; OCT images; Deep learningconference paper10.1109/OECC48412.2020.92735622-s2.0-85098727845