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Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis.

Amitojdeep SinghJanarthanam Jothi BalajiMohammed Abdul RasheedVaradharajan JayakumarRajiv RamanVasudevan Lakshminarayanan
Published in: Clinical ophthalmology (Auckland, N.Z.) (2021)
Explanations from the top methods were able to highlight the structures for each disease - fluid accumulation for CNV, the boundaries of edema for DME, and bumpy areas of retinal pigment epithelium (RPE) for drusen. The most suitable method for a specific medical diagnosis task may be different from the one considered best for conventional tasks. Overall, there was a high degree of acceptance from the clinicians surveyed in the study.
Keyphrases
  • deep learning
  • healthcare
  • working memory
  • palliative care
  • convolutional neural network
  • age related macular degeneration
  • optical coherence tomography
  • virtual reality