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

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

Date Created 2019-04-07 (5 years ago)
Commits 66 (last one 3 years ago)
Stargazers 371 (0 this week)
Watchers 12 (0 this week)
Forks 112
License mit
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RepositoryStats indexes 628,089 repositories, of these IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization is ranked #118,498 (81st percentile) for total stargazers, and #172,796 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,628/18,867.

IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization is also tagged with popular topics, for these it's ranked: deep-learning (#2,559/8781),  keras (#250/808),  cnn (#137/571)

Other Information

IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization has 3 open pull requests on Github, 6 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 29 open issues and 29 closed issues.

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

updated: 2025-03-09 @ 03:55pm, id: 179969746 / R_kgDOCroe0g