Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms.

Journal: BMC ophthalmology
Published Date: Nov 6, 2018

Abstract

BACKGROUND: Convolution neural networks have been considered for automatic analysis of fundus images to detect signs of diabetic retinopathy but suffer from low sensitivity.

Authors

  • Parham Khojasteh
    Royal Melbourne Institute of Technology, Biosignals Laboratory, School of Engineering, 124 La Trobe St, Melbourne, Australia. Electronic address: Parham.khojasteh@student.rmit.edu.au.
  • Behzad Aliahmad
    Royal Melbourne Institute of Technology, Biosignals Laboratory, School of Engineering, 124 La Trobe St, Melbourne, Australia. Electronic address: behzad.aliahmad@rmit.edu.au.
  • Dinesh K Kumar
    Biosignal Lab, School of Engineering, RMIT University, Melbourne, Australia. Dinesh@rmit.edu.au.

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