VS_Seg
importedsoftware/vs-seg
Automatic Segmentation of Vestibular Schwannoma with MONAI (PyTorch)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- KCL-BMEIS
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/KCL-BMEIS/VS_Seg
- Documentation
- unknown
- Tags
- deep-learning · medical-image-segmentation · monai · pytorch
- 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.
- mindGlidemonai · pytorch
Brain MRI segmentation for multiple sclerosis — any sequence, any quality. pip install mindglide
- MONAILabelmonai · pytorch
MONAI Label is an intelligent open source image labeling and learning tool.
- MRISkullStrippingmonai · pytorch
Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.
- 3D-organs-modelingmonai
3D Modeling of organ structures based on a medical scan of the organ in the form of series of 2D photos
- adell-mrimonai
A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.
- generative_chestxraymonai
Repository to train Latent Diffusion Models on Chest X-ray data (MIMIC-CXR) using MONAI Generative Models
- api.github.com/repos/KCL-BMEIS/VS_Segretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-01-06, 49 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/50.json→ .entries["vs-seg"]
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