Article

Toward Personalized Diabetic Retinopathy Screening: Deep Learning Fundus Image Analysis and Clinical Risk Factors

2026-07-29

Abstract excerpt

Diabetic retinopathy (DR) screening commonly relies on fixed follow-up intervals, although progression risk differs across patients. We developed a preliminary image–clinical framework to support personalized follow-up recommendations from retinal fundus images and systemic risk factors. Public DR datasets were harmonized into a binary task distinguishing absence of DR from DR of any grade. An ImageNet-pretrained...

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Literature Corpus work: 7f45a5b1-de22-5c26-873f-c46255e2235c
DOI: 10.64898/2026.07.28.26359113

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