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medsam-vit-base

Mask Generation

Inference Endpoints

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flaviagiammarino commited on Jul 11, 2023

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@@ -10,7 +10,7 @@ MedSAM is a fine-tuned version of [SAM](https://huggingface.co/docs/transformers
 ## Model Description
-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.
 The image-mask pairs cover 15 imaging modalities and over 30 cancer types.
 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.

 ## Model Description
+MedSAM was trained on a large-scale medical image segmentation dataset of 1,090,486 image-mask pairs collected from different publicly available sources.
 The image-mask pairs cover 15 imaging modalities and over 30 cancer types.
 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.