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 369 (0 this week)
Watchers 13 (0 this week)
Forks 113
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RepositoryStats indexes 585,332 repositories, of these IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization is ranked #113,657 (81st percentile) for total stargazers, and #165,701 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,459/17,144.

IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization is also tagged with popular topics, for these it's ranked: deep-learning (#2,485/8403),  keras (#248/791),  cnn (#136/547)

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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: 2024-09-30 @ 11:54am, id: 179969746 / R_kgDOCroe0g