AC-CovidNet

This repo contains the code used in AC-CovidNet paper.

Steps to use:

1. Download data using covidx_download.ipynb
2. Preprocess using preprocessing.ipynb
3. Train the model using supcon.py
4. Use that trained model and test using main.py (main.py can also be used to train and test covidnet)

References

Code used from:

Supcon - https://github.com/keras-team/keras-io/blob/master/examples/vision/supervised-contrastive-learning.py covinet keras implementation - https://github.com/busyyang/COVID-19 covidx data generation and preprocessing - https://github.com/lindawangg/COVID-Net