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

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

IAmSuyogJadhav

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

342 Stars
114 Forks
342 Watchers
Jupyter Notebook Language
mit License
Cost to Build
$500
Market Value
$1.1K

Growth over time

7 data points  ·  2021-08-01 → 2023-07-01
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What is the IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization GitHub project? Description: "Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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