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The aim is to help medical practitioners helping us in battle against COVID-19 by easing the task of manual testing using Deep Learing.
Problem type :- Supervised
Algorithms used :- CNN
Dataset :- COVID X-Ray (https://github.com/ieee8023/covid-chestxray-dataset); Normal X-Ray(https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia)
Libraries used :- Keras, Numpy, Seaborn, Matplotlib, os
Inspired by :- https://www.youtube.com/watch?v=nHQDDAAzIsI
Normal X-ray data can be extracted through kaggle link using OS module. Don't forget to stratify the data as it will help to get better results. Detailed explanation for model can be found at :- https://medium.com/@dakshtrehan/detecting-covid-19-using-deep-learning-262956b6f981
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