Anomaly detection using GANs
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
Dataset
we are using MIAS dataset http://peipa.essex.ac.uk/info/mias.html
Architecture
Our code is based on DCGAN from this wonderful repo https://github.com/carpedm20/DCGAN-tensorflow
Results
- TODO
How to run
- TODO
Contributors
To Do
- Complete Readme.
- Evaluate on 128x128 patches.