Machine learning application
Detecting COVID-19 using X-Ray images
Keywords:
X-ray images, Coronavirus, Deep Learning, CNN model, FlaskAbstract
The Coronavirus which is scientifically named COVID-19. Its strain was found in Wuhan, a city of China, at the end of 2019. After that the case of coronavirus started spreading quickly around the world and has turned it into a huge global pandemic. Now coronavirus has made a huge impact on human lives since the last several years where people are losing their lives, people are losing their jobs. It has a devastating effect on human life already. Since this virus has come as a complete surprise to everyone in 2019 there were not so many detection or screening methods or trained healthcare workers for this medical challenge and the virus being airborne was spreading really very rapidly. It has been found that COVID-19 affects the epithelial cells which are present in the respiratory tract of our body, so we can use X-ray images and various artificial intelligence techniques to detect the virus. We have built a Deep Learning model, and trained over 200 COVID-19 positive X-ray images and 202 Normal X-ray images of lungs of people.
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https://europepmc.org/article/pmc/pmc7254021#bib001
Keras : https://www.keras.io/
Coronaviruses. https://www.niaid.nih.gov/diseases-conditions/coronaviruses
Kaggle Chest X-Ray images: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
Public COVID-19 dataset of X-ray and CT scans: https://josephpcohen.com/w/public-covid19-dataset/
Flask python framework: https://flask.palletsprojects.com/en/1.1.x/
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