# IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

<https://repo.masters-masters.com/en/repos/IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization>

[Home](https://repo.masters-masters.com/en) › [IAmSuyogJadhav](https://repo.masters-masters.com/en/owners/IAmSuyogJadhav) › [3d-mri-brain-tumor-segmentation-using-autoencoder-regularization](https://repo.masters-masters.com/en/repos/IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization)

IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization has 373 stars on GitHub. Its RepoMasters card: Alpha tier.

| Field | Value |
| --- | --- |
| Owner | [IAmSuyogJadhav](https://repo.masters-masters.com/en/owners/IAmSuyogJadhav) |
| Stars | 373 |
| Forks | 111 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | brats2018, cnn, keras, deep-learning, medical-image-processing |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization](https://github.com/IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization) |

## Repository

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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