Identification of Sex and Age from Macular Optical Coherence Tomography and Feature Analysis Using Deep Learning.

Journal: American journal of ophthalmology
Published Date:

Abstract

PURPOSE: To develop deep learning models for identification of sex and age from macular optical coherence tomography (OCT) and to analyze the features for differentiation of sex and age.

Authors

  • Kuan-Ming Chueh
    Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, Taiwan (K-M.C., S-L.H.).
  • Yi-Ting Hsieh
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.
  • Homer H Chen
    Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
  • I-Hsin Ma
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan (Y-T.H., I-H.M.); Department of Ophthalmology, National Taiwan University Biomedical Park Hospital, Hsinchu, Taiwan (I-H.M.).
  • Sheng-Lung Huang
    Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.