SOURCE-LINKED INTELLIGENCE

Automated 2D and 3D Segmentation of AMD and DME Lesions in OCT

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

Age-related macular degeneration (AMD) and diabetic macular edema (DME) are leading causes of vision loss, and optical coherence tomography (OCT) is the standard modality for detecting and monitoring the subtle lesions that drive treatment decisions. Most deep-learning segmentation work for OCT is validated only in-domain, leaving generalization to clinical data collected under different acquisition protocols largely untested. This work develops and systematically ablates four lesion-segmentation pipelines -- 2D and 3D variants for AMD and DME -- reaching Dice scores of 0.76 to 0.82 with stron

Read original source ↗ Open in workspace

recordType: paper
region: Global

Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-08-27T13:13:18.000Z

First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.