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Brain-Tumors-Segmentation

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data/brain-tumors-segmentation

Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.

Machine-generated from the listed sources and not yet reviewed by a human.

Brain-Tumors-Segmentation project image
GitHub preview card for mfaizan-ai/Brain-Tumors-Segmentation. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
3d-segmentation · brain-tumor-segmentation · brats16 · brats17 · brats18 · brats2020 · brats23 · btcv · computer-vision · deep-learning · machine-learning · medical-image-processing · medical-imaging · organs · segmentation · segmentation-models · synapse
Regulatory
unknown
built by · 1

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • Diff-UNetbrats2020 · btcv · medical-imaging · segmentation

    Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)

  • LHUNetmedical-imaging · segmentation · synapse

    LHU-Net: A Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation

  • med_segmentationorgans · segmentation

    semantic segmentation for magnetic resonance imaging

  • AtlasPatchcomputer-vision · segmentation · segmentation-models

    AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing

  • MSA-2Netcomputer-vision · synapse

    [BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"

  • BTSC-UNet-ViTcomputer-vision · medical-imaging · segmentation-models

    🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…

sources
  1. api.github.com/repos/mfaizan-ai/Brain-Tumors-Segmentation
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-23, 102 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 →

machine-readable

/v1/entries/23.json→ .entries["brain-tumors-segmentation"]

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