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

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

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

shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks, dépôt open source à 171 étoiles sur GitHub. Carte Prototype de…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [shalabh147](https://repo.masters-masters.com/owners/shalabh147) |
| Étoiles | 171 |
| Forks | 43 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2020 |
| Sujets | brain-tumor-segmentation, survival-prediction, deep-neural-networks, unet-architecture, segmentation, keras-tensorflow, brats-dataset, medical-imaging, aiformedicine, vnet3d |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur 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) |

## Fiche du dépôt

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.

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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