Shypd.aiThe largest open index of AI toolsSAMed is an open-source data labeling & annotation tool that customizes the Segment Anything Model (SAM) for medical image segmentation. It supports AI-assisted diagnostics and research in medical imaging.
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SAMed is an open-source implementation of a customized Segment Anything Model (SAM) specifically designed for medical image segmentation. This tool leverages a low-rank-based (LoRA) finetuning strategy on the SAM image encoder, prompt encoder, and mask decoder, allowing it to perform semantic segmentation on medical images. SAMed offers both a vit_b version and a higher-performing vit_h version (SAMed_h), with the latter achieving significantly better performance while maintaining a marginal increase in LoRA checkpoint size. It provides a general solution for medical image segmentation, making it suitable for computer-assisted diagnosis and preoperative planning. The repository includes prerequisites, quick start guides, and training instructions for users.
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