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README.md
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## Model Description
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MedSAM was trained on a large-scale medical image segmentation dataset
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The image-mask pairs cover 15 different imaging modalities and over 30 cancer types.
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MedSAM was initialized with the pre-trained SAM model with the ViT-Base backbone. The prompt encoder weights were frozen, while the image encoder and mask decoder weights were updated during training.
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## Model Description
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MedSAM was trained on a large-scale medical image segmentation dataset of 1,090,486 medical image-mask pairs collected from different publicly available sources.
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The image-mask pairs cover 15 different imaging modalities and over 30 cancer types.
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MedSAM was initialized with the pre-trained SAM model with the ViT-Base backbone. The prompt encoder weights were frozen, while the image encoder and mask decoder weights were updated during training.
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