# pykao/BraTS2018-tumor-segmentation

<https://repo.masters-masters.com/en/repos/pykao/BraTS2018-tumor-segmentation>

[Home](https://repo.masters-masters.com/en) › [pykao](https://repo.masters-masters.com/en/owners/pykao) › [BraTS2018-tumor-segmentation](https://repo.masters-masters.com/en/repos/pykao/BraTS2018-tumor-segmentation)

pykao/BraTS2018-tumor-segmentation has 112 stars on GitHub. Its RepoMasters card: Prototype tier. We provide DeepMedic and 3D UNet in pytorch for brain tumore…

| Field | Value |
| --- | --- |
| Owner | [pykao](https://repo.masters-masters.com/en/owners/pykao) |
| Stars | 112 |
| Forks | 22 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | deepmedic, pytorch, pytorch-deepmedic, pytorch-3d-unet, brain-tumor-segmentaiton, brats, medical-image-segmentation, 3d-unet, deep-learning, deep-neural-networks |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [pykao/BraTS2018-tumor-segmentation](https://github.com/pykao/BraTS2018-tumor-segmentation) |

## Repository

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

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.