MRI-MS-Plaques-Segmentation
importedsoftware/mri-ms-plaques-segmentation
A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
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 · attention-gate · longitudinal-analysis · mri · multiple-sclerosis · u-net
- Regulatory
- unknown
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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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Implementation of a compact Attention Half U-Net with Attention Gates and Squeeze-and-Excitation blocks for medical image segmentation. Features a modular PyTorch pipeline, BCE-Dice hybrid loss,…
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This GitHub repository was created for research focusing on the development of deep learning-based segmentation models for fetal brain tissue.
- brainchop3d-segmentation · mri
Brainchop: In-browser 3D MRI rendering and segmentation
- SAAMI3d-segmentation · mri
Automatic segment and generate masks for any 3D medical images using SAM model without prompt
- Paint4Brainsmri · u-net
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…
- mindGlidemultiple-sclerosis
Brain MRI segmentation for multiple sclerosis — any sequence, any quality. pip install mindglide
- api.github.com/repos/AliAmini93/MRI-MS-Plaques-Segmentationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-08-02, 41 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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