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MedLSAM: Localize and Segment Anything Model for 3D Medical Images
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
Ladder Fine-tuning approach for SAM integrating complementary network
Segment Anything Model (SAM) for Radiation Oncolog
Segment Anything Model for Semi-Supervised Medical Image Segmentation via Selecting Reliable Pseudo-Labels
The potential of 'Segment Anything' (SAM) for universal intelligent ultrasound image guidance
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder
DeSAM: Decoupling Segment Anything Model for Generalizable Medical Image Segmentation
IAMSAM : Image-based Analysis of Molecular signatures using the Segment-Anything Model
BreastSAM: A Study of Segment Anything Model for Breast Tumor Detection in Ultrasound Images
PromptUNet: Toward Interactive Medical Image Segmentation
Polyp-SAM: Transfer SAM for Polyp Segmentation
Exploring the Zero-Shot Capabilities of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guideline
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
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