# shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

<https://repo.masters-masters.com/en/repos/shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks>

[Home](https://repo.masters-masters.com/en) › [shalabh147](https://repo.masters-masters.com/en/owners/shalabh147) › [Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks](https://repo.masters-masters.com/en/repos/shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks)

shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks has 171 stars on GitHub. Its RepoMasters card: Prototype tier.

| Field | Value |
| --- | --- |
| Owner | [shalabh147](https://repo.masters-masters.com/en/owners/shalabh147) |
| Stars | 171 |
| Forks | 43 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | brain-tumor-segmentation, survival-prediction, deep-neural-networks, unet-architecture, segmentation, keras-tensorflow, brats-dataset, medical-imaging, aiformedicine, vnet3d |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks](https://github.com/shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks) |

## Repository

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 patients through deep neural networks.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
