tumour-seg
importedsoftware/tumour-seg
This is a repository hosting all models detailed in the article Brain tumour segmentation with incomplete imaging data.
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
- high-dimensional
- Country
- unknown
- Repository
- github.com/high-dimensional/tumour-seg
- Documentation
- unknown
- Tags
- deep-learning · mri · mri-brain · mri-segmentation · neuroradiology · nnunet · tumour-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.
- Paint4Brainsmri · mri-brain · mri-segmentation
A brain MRI segmentation tool that provides accurate robust segmentation of problematic brain regions across the neurodegenerative spectrum. The methodology is generalisable to perform well with the…
- cat12mri-brain · mri-segmentation
Computational Anatomy Toolbox for SPM
- deepmriprepmri-brain · mri-segmentation
Neural network-based MRI preprocessing: Prep 🧠 images in seconds 🔥
- federated_hemri-brain · mri-segmentation
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with…
- MedNet-PVSmri · nnunet
Fully automated 3D perivascular space (PVS) segmentation tool for T1w and T2w brain MRI.
- SimulatingDCEmri · nnunet
Official repository of "Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks"
- api.github.com/repos/high-dimensional/tumour-segretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2023-10-24, 7 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/5.json→ .entries["tumour-seg"]
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