SAM4MIS. Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
1.1kSemiSAM. [MedIA'25 / BIBM'24] SemiSAM+ / SemiSAM: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
70DTML. [PRCV'21] The official code for "Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation"
29UG-MCL. [AIIM'22] The official code for "Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation"
27PET2Rep. [AAAI'26] PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography
24SegAnyPET. Developing Foundation Models for Universal Segmentation from 3D Whole-Body Positron Emission Tomography
21NasalSeg. [SciData'24] NasalSeg: A Dataset for Automatic Segmentation of Nasal Cavity and Paranasal Sinuses from 3D CT Images
19SemiSAM-O1. SemiSAM-O1: Semi-Supervised 3D Medical Image Segmentation with Only One Labeled Template
10UR-SAM. The official code for "Segment Anything Model with Uncertainty Rectification for Auto-Prompting Medical Image Segmentation"
8UMD.
2YichiZhang98.github.io. HTML
1MedSAM. The official repository for MedSAM: Segment Anything in Medical Images.
1SOTA-MedSeg. SOTA medical image segmentation methods based on various challenges
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