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Found 2 papers, 2 papers with code
Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation
In this paper, we thus study how to use OCTA images with projection vascular layers to segment retinal structures.
SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation
The method fine-tunes a pre-trained segment anything model (SAM) using low-rank adaptation (LoRA) and utilizes prompt points for local RVs, arteries, and veins segmentation in OCTA.
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