Understanding and interpreting CNN's decision in optical coherence tomography-based AMD detection.

Journal: European journal of ophthalmology
Published Date: Sep 6, 2023

Abstract

INTRODUCTION: Automated assessment of age-related macular degeneration (AMD) using optical coherence tomography (OCT) has gained significant research attention in recent years. Though a list of convolutional neural network (CNN)-based methods has been proposed recently, methods that uncover the decision-making process of CNNs or critically interpret CNNs' decisions in the context are scant. This study aims to bridge this research gap.

Authors

  • S M Azoad Ahnaf
    Computational Color and Spectral Image Analysis Lab, Computer Science and Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
  • Sajib Saha
    Doheny Eye Institute, Los Angeles, CA, 90033, USA.
  • Shaun Frost
    Australian eHealth Research Center, CSIRO, 147 Underwood Ave, Perth, Australia.
  • G M Atiqur Rahaman
    Computational Color and Spectral Image Analysis Lab, Computer Science and Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.

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