A saliency-supervised VAE that converts fundus images into unadversarial examples is claimed to improve frozen-model DR grading under a new model-agnostic online adaptation setting.
A comprehensive diagnosis system for early signs and different diabetic retinopathy grades using fundus retinal images based on pathological changes detection
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Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
A saliency-supervised VAE that converts fundus images into unadversarial examples is claimed to improve frozen-model DR grading under a new model-agnostic online adaptation setting.