Retinal blood-vessel segmentation on the DRIVE dataset: a 2-channel (CLAHE + Frangi) U-Net in PyTorch with a FastAPI overlay service. F1 0.833 (inside FOV). - LSaiko/Reti-ves-seg ...
Cross-Modality Anatomy Knowledge Distillation for Retinal OCT Layer Segmentation with Limited Labels
Abstract: Automatic segmentation of retinal Optical Coher ence Tomography (OCT) images plays a vital role in the early diagnosis and treatment of ocular diseases. However, the scarcity of labeled OCT ...
1.13.0 3.7+ 11.6, 11.7 0.13.0 0.14.0 1.12.1 3.7+ 10.2, 11.3, 11.6 0.12.1 0.13.1 1.12.0 3.7+ 10.2, 11.3, 11.6 0.12.0 0.13.0 1.11.0 3.6+ 10.2, 11.3 0.11.0 0.12.0 1.10.1 ...
Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...
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