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Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

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data/brain-tumor-segmentation-and-survival-prediction-using-deep-neural-networks

Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of…

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Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks project image
GitHub preview card for shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks. 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
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
aiformedicine · brain-tumor-segmentation · brats-dataset · cnn-segmentation · deep-learning · deep-neural-networks · dice-coefficient · dice-loss
Regulatory
unknown
built by · 2

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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.

  • MCTSegbrain-tumor-segmentation · deep-neural-networks · dice-loss

    [Preprint] Official implementation of "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities".

  • Co-Manifoldbrats-dataset

    [Neurocomputing] Official PyTorch implementation for Co-Manifold Learning for Semi-supervised Medical Image Segmentation

  • M2FTransbrats-dataset

    [IEEE-JBHI'2024] M2FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation

  • neuro-voxelbrats-dataset

    Volumetric MRI visualization and analysis tool for BraTS datasets. Converts NIfTI slices to 3D meshes using Marching Cubes algorithm with real-time tumor volume calculation.

  • VT-UNetbrats-dataset

    [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

  • nn-common-modulesdice-coefficient

    Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

sources
  1. api.github.com/repos/shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2020-07-24, 171 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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