bowang-lab/MedSAM
MedSAM
Segment Anything in Medical Images
Builder
bowang-lab
bowang-lab • individual
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4,185
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Forks
577
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Created
Apr 22, 2023
Project creation date
README Summary
MedSAM is a specialized adaptation of the Segment Anything Model (SAM) for medical image segmentation tasks. The project provides tools and models specifically trained on medical imaging data to enable accurate segmentation of anatomical structures and pathologies. It offers both inference capabilities and training frameworks for medical imaging applications.
AI Dev Skills
Unmapped
Computer VisionMedical Image SegmentationFoundation Model AdaptationTransfer LearningVision Transformer ArchitecturePrompt-based SegmentationDeep Learning for Medical Imaging
Tags
Computer VisionMedical Image SegmentationFoundation Model AdaptationTransfer LearningVision Transformer ArchitecturePrompt-based SegmentationDeep Learning for Medical ImagingMedical AIDomain-Specific AIAnatomical Structure IdentificationHealthcarePathology Detection in Medical ScansRadiologySelf-hostedMedical ImagingResearch EnvironmentPrompt-based AIDigital PathologyRadiological Analysis AutomationMedical Imaging PreprocessingOn-premiseImageFoundation ModelsMedical TechnologyJupyter Notebook
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Recent Activity
Updated 11 months ago
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Quality
research- Quality
- medium
- Maturity
- research
Categories
Coding & Dev ToolsPrimaryData Science & AnalyticsHealthcare & BiologySearch & KnowledgeOther AI / MLDev Tools & AutomationLearning ResourcesIndustry: HealthcareFoundation ModelsComputer Vision
PM Skills
Developer Platform
Languages
Jupyter Notebook100.0%
Timeline
- Project created
- Apr 22, 2023
- Forked
- Mar 23, 2026
- Your last push
- 11 months ago
- Upstream last push
- 11 months ago
- Tracked since
- May 7, 2025
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