/3DUnetCNN

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

Primary LanguagePythonMIT LicenseMIT

3D U-Net Convolution Neural Network

Brain Tumor Segmentation (BraTS) Tutorial

Tumor Segmentation Example

Automatic Cranial Implant Design (AutoImpant)

Segmentation Example

Anatomical Barriers to Cancer Spread (ABCS)

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 davidgellis2@gmail.com.

Citation

Coming soon.