Inspiration

We were inspired by the udse of Deep learning models used to diagnose Covid-19 from X ray images. With many parts of the world not being able to access high quality X rays as well as the risk of radiation from high exposure X rays. We wanted to see if image enhancement can be used to make predictions on low quality images but also to see if enhancing the images improved the accuracy of the Covid diagnosis

What it does

The entire project consists of two major networks both built using pytorch. The first network is a CNN network that enahces the images the second is a network based on the Deep Covid Framework that classifies the X ray images as non covid or covid

How I built it

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for Covid-19 prediction from CNN enhanced Chest X-ray Images

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