Retinal layer segmentation in OCT B-scans using deep learning and boundary-aware supervision.
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Updated
Apr 13, 2026
Retinal layer segmentation in OCT B-scans using deep learning and boundary-aware supervision.
Web-based semi-automated retinal fluid segmentation tool for OCT images. Combines traditional image processing with deep learning models (U-Net, MedSAM) to help medical professionals efficiently annotate and segment retinal fluid regions. Features interactive annotation tools, multiple segmentation algorithms, and user-friendly web interface.
Converts blood vessels in retinal images to binarized segmentation
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