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 2 years ago)
Stargazers 364 (0 this week)
Watchers 13 (0 this week)
Forks 114
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RepositoryStats indexes 534,880 repositories, of these IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization is ranked #108,658 (80th percentile) for total stargazers, and #161,173 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,279/14,941.

IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization is also tagged with popular topics, for these it's ranked: deep-learning (#2,391/7826),  keras (#249/762),  cnn (#132/506)

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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.

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

updated: 2024-06-29 @ 02:59am, id: 179969746 / R_kgDOCroe0g