DL based solution for COVID19Action-Radiology-CXR i.e. covid-19 detection using chest X-ray images.
Head over to the ps.txt to read the problem statement.
resnet_transfer.ipynb is the model which uses resnet-18 pretrained model for transfer learning.
conv-net.ipynb is the model which uses Vanilla Conv-net model with self-built architecture for training.
The Inference code and the saved model is also open sourced for community use.
I have also written a whitepaper explaining the detailed approach adopted by me to tackle various problems while solving this problem statement.
Got a 9/10 score for this project and 4/5 for the whitepaper and inference code.
This is the part of the final project for the course DLFA(Deep Learning Foundations and Applications) by prof. Debdoot sheet offered by Centre of Excellence in Artificial Intelligence, IIT Kharagpur.
NOTE: This project was done in the kaggle notebooks so all the file paths for loading the dataset, saving model, etc are according to the ones used in kaggle. You can find the kaggle notebooks resnet-18 here and conv-net here.