Differentiation of gender from macular optical coherence tomography using deep learning
Journal
25th Opto-Electronics and Communications Conference, OECC 2020
Date Issued
2020
Author(s)
Abstract
Using 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.
Subjects
CNN; deep learning; Grad-CAM; macula; Optical coherence tomography
Other Subjects
Learning algorithms; Optical tomography; OCT images; Deep learning
Type
conference paper