PRISM-DR: Per-lesion Retinal Inference with Specialist Models for Diabetic Retinopathy
Diabetic retinopathy is a leading cause of preventable blindness; its early lesions are small, low contrast, and easily missed in manual screening. Most automated detectors handle the four non-proliferative DR lesions: microaneurysms, hemorrhages, hard exudates, and soft exudates, with a single multi-class model, even though these lesions differ sharply in size, color, morphology, and prevalence, so a shared model favors common, easy classes over rare, difficult ones. We present PRISM-DR, a lesion-specific pipeline that trains one single-class detector per lesion, each with its own configuration. From a raw fundus image, the pipeline applies region of interest cropping, fundus-specific pr...
| Authors | Zübeyr Özeren, Tansel Uyar |
|---|---|
| Primary category | eess.IV |
| Published | 22 July 2026 |
| Last updated at source | 22 July 2026 |
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