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Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

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3D U-Net Convolution Neural Network

Tumor Segmentation Example

 Segmentation Example

Background

We designed 3DUnetCNN to make it easy to apply and control the training and application of various deep learning models to medical imaging data. The links above give examples/tutorials for how to use this project with data from various MICCAI challenges.

Dependencies

  • Pytorch
  • nilearn
  • pandas
  • keras

Got Questions?

Join the Slack group or email me at [email protected].

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Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

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