Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy.

Journal: Translational vision science & technology
Published Date: Jul 16, 2020

Abstract

PURPOSE: To improve disease severity classification from fundus images using a hybrid architecture with symptom awareness for diabetic retinopathy (DR).

Authors

  • Vincent S Tseng
    Computer Science and Information Engineering, National Chiao Tung University, Hsinchu, Taiwan.
  • Ching-Long Chen
    Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chang-Min Liang
    Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Ming-Cheng Tai
    Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Jung-Tzu Liu
    Computational Intelligence Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan.
  • Po-Yi Wu
    Computational Intelligence Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan.
  • Ming-Shan Deng
    Computational Intelligence Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan.
  • Ya-Wen Lee
    Computational Intelligence Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan.
  • Teng-Yi Huang
    Computational Intelligence Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan.
  • Yi-Hao Chen
    Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.

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