Skip to content

Latest commit

 

History

History
10 lines (9 loc) · 682 Bytes

README.md

File metadata and controls

10 lines (9 loc) · 682 Bytes

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space

The brain tumor data can be downloaded from here: https://drive.google.com/file/d/1RK1whFxkEchuPdlw9MsURLSE-4L9deE2/view?usp=sharing. The COVID experiments rely on an in-house dataset, but the setup is similar.

Training

Download the repo, and unzip the data into the code directory. To train medXGAN, run:

python3 Main.py --root_dir {path-to-brain-data} --classifier_root_dir {path-to-classifier-weights}

Visualizations

See the Jupyter Notebooks for examples on running visualizations: https://drive.google.com/drive/folders/1rEqJvJ2Qz9uKa8MN2lQDNuDG_eTjt3Tv?usp=sharing