med_segmentation
importedsoftware/med-segmentation
semantic segmentation for magnetic resonance imaging
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- lab-midas
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/lab-midas/med_segmentation
- Documentation
- unknown
- Tags
- adipose-tissue · deep-neural-networks · magnetic-resonance-imaging · organs · segmentation · semantic-segmentation
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Brain-Tumors-Segmentationorgans · segmentation
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
- MCTSegdeep-neural-networks · semantic-segmentation
[Preprint] Official implementation of "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities".
- invesalius3magnetic-resonance-imaging · segmentation
3D medical imaging reconstruction software
- GOUHFIsegmentation · semantic-segmentation
GOUHFI: novel contrast- and resolution-agnostic segmentation tool for both Ultra-High Field and lower field MRI
- medico-samsegmentation · semantic-segmentation
Segment Anything for Medical Imaging
- OSS-Netsegmentation · semantic-segmentation
Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].
- api.github.com/repos/lab-midas/med_segmentationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-09-21, 16 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/46.json→ .entries["med-segmentation"]
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