0-TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM 0-Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation 0-SAM-U: Multi-box prompts triggered uncertainty estimation for reliable SAM in medical image 0-SAM-SP: Self-Prompting Makes SAM Great Again 0-Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts 0-TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images 0-SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT 0-One-Prompt to Segment All Medical Images 0-Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes 0-DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation More...

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