brainchop
importedsoftware/brainchop
Brainchop: In-browser 3D MRI rendering and segmentation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- neuroneural
- Country
- unknown
- Homepage
- neuroneural.github.io/brainchop/
- Repository
- github.com/neuroneural/brainchop
- Documentation
- unknown
- Tags
- 3d-segmentation · deep-learning · frontend-app · javascript · medical-imaging · mri · mri-segmentation · neuroimaging
- 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.
- SAAMI3d-segmentation · medical-imaging · mri · mri-segmentation
Automatic segment and generate masks for any 3D medical images using SAM model without prompt
- MRI-MS-Plaques-Segmentation3d-segmentation · mri
A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
- deepmriprepmri-segmentation · neuroimaging
Neural network-based MRI preprocessing: Prep 🧠 images in seconds 🔥
- MedNeXtmedical-imaging · mri-segmentation
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
- HyperMapp3rmedical-imaging · mri · neuroimaging
AICONSlab's white matter hyperintensities (WMH) segmentation algorithm using CNNs
- iCVMapp3rmedical-imaging · mri · neuroimaging
AICONSlab's brain extraction (skull-stripping) algorithm using CNNs
- api.github.com/repos/neuroneural/brainchopretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-02-24, 540 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 →
/v1/entries/15.json→ .entries["brainchop"]
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