3D-Volumetric-MedicalImageSegmentationWithDeepLearning
importedsoftware/3d-volumetric-medicalimagesegmentationwithdeeplearning
This GitHub repository was created for research focusing on the development of deep learning-based segmentation models for fetal brain tissue.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- 3d-segmentation · deep-learning · mri · mri-brain-segmentation
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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Automatic segment and generate masks for any 3D medical images using SAM model without prompt
- Fast-nnUNet3d-segmentation
This is the official repository for Fast-nnUNet, a new fast model inference framework based on the nnUNet framework implementation.
- api.github.com/repos/ugurcanakyuz/3D-Volumetric-MedicalImageSegmentationWithDeepLearningretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-05-08, 9 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
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