
SaLIP, a unified framework that leverages the combined capabilities of the Segment Anything Model (SAM) and Contrastive Language-Image Pre-Training (CLIP) to perform zero-shot organ segmentation in medical images, without relying on domain expertise or annotated data for prompt engineering.


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test-time-adaptation-with-salip-a-cascade-of-segment-anything-model-and-clip-for-zero-shot-medical-image-segmentation


Test-Time Adaptation with SaLIP: A Cascade of Segment Anything Model and CLIP for Zero-shot Medical Image Segmentation
