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@@ -10,7 +10,7 @@ MedSAM is a fine-tuned version of [SAM](https://huggingface.co/docs/transformers
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  ## Model Description
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- MedSAM was trained on a large-scale medical image segmentation dataset containing 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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  ## 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.