Improving performance of CNN to predict likelihood of COVID-19 using chest X-rayimages with preprocessing algorithms

AI spots COVID-19 on chest X-rays faster — simple steps, big results

A new tool used a smart image cleanup plus an AI model to read chest X-ray pictures and flag likely COVID-19 cases.
The photos were cleaned and adjusted so the computer could focus on the important parts, then taught to tell apart COVID-19, other lung infections and normal lungs.
The training set had about 8,474 images, including a few hundred confirmed COVID-19 pictures, so the system learned from many examples.

When tested, the program could find COVID-19 with about 98.
6% detection and it sorted the three groups with high accuracy, which means radiologists get a fast second opinion.
It's quick, low-cost and works with common X-rays, so it's useful in busy hospitals and places with few resources.
The idea is not to replace doctors but to help them decide faster, and reduce missed cases.
New tools like this could make diagnosis easier, save time and maybe save lives, even if more checking is still needed.

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Improving performance of CNN to predict likelihood of COVID-19 using chest X-rayimages with preprocessing algorithms

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