The goal of this project is be able to detect anomolies using GANs based on Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
we are using MIAS dataset http://peipa.essex.ac.uk/info/mias.html
Our code is based on DCGAN from this wonderful repo https://github.com/carpedm20/DCGAN-tensorflow
- TODO
- TODO
- Complete Readme.
- Evaluate on 128x128 patches.