SAM-Med2D
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Adapts the Segment Anything Model (SAM) to 2D medical imaging through large-scale medical fine-tuning.
Medical-domain adaptation: Fine-tunes SAM on a large, diverse collection of 2D medical images spanning multiple anatomies and modalities (CT, MRI, X-ray, ultrasound).
Comprehensive medical segmentation: Handles organ, lesion, and anatomical-structure segmentation across common imaging modalities.
Prompt engineering for clinicians: Supports the same point/box/text-prompt interaction paradigm as SAM, making it approachable for clinicians already familiar with SAM.
Strong medical baseline: Achieves strong performance on medical segmentation benchmarks, showing the SAM-adaptation pattern works well for regulated domains.
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