Validation of Deep Convolutional Neural Network-based algorithm for detection of diabetic retinopathy - Artificial intelligence versus clinician for screening.

Journal: Indian journal of ophthalmology
Published Date:

Abstract

PURPOSE: Deep learning is a newer and advanced subfield in artificial intelligence (AI). The aim of our study is to validate a machine-based algorithm developed based on deep convolutional neural networks as a tool for screening to detect referable diabetic retinopathy (DR).

Authors

  • Payal Shah
    Department of Vitreoretina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Divyansh K Mishra
    Department of Vitreoretina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Mahesh P Shanmugam
    Department of Vitreoretina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Bindiya Doshi
    Department of Vitreoretina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Hariprasad Jayaraj
    Lebencare Technologies Pte.Ltd, Singapore.
  • Rajesh Ramanjulu
    Department of Vitreoretina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.