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Found 4 papers, 1 papers with code
Uncertainty aware and explainable diagnosis of retinal disease
Deep learning methods for ophthalmic diagnosis have shown considerable success in tasks like segmentation and classification.
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis
The explanations from 13 different attribution methods were rated by a panel of 14 clinicians for clinical significance.
Explainable deep learning models in medical image analysis
Deep learning methods have been very effective for a variety of medical diagnostic tasks and has even beaten human experts on some of those.
Application of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis -- A Review
An overview of the applications of deep learning in ophthalmic diagnosis using retinal fundus images is presented.
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