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COVIDXception-Net: A Bayesian Optimization Based Deep Learning Approach to Diagnose COVID-19 from X-Ray Images

2020-08-18

Abstract excerpt

<h4>Background: </h4> The Coronavirus Disease 2019 (COVID-19) is highly contagious and spreading around the world like wildfire. For this reason, fast and accurate diagnosis of COVID-19 is of tremendous importance. Chest X-rays can be used to diagnose COVID-19 but there is a global shortage of radiologists who can interpret X-rays. This study aims to develop an artificial intelligence system that can diagnose COVI...

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Literature Corpus work
e2f31d3f-7c1a-5cde-b787-facb465ef8b6
DOI
10.21203/rs.3.rs-58531/v1
Open publication

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COVIDXception-Net: A Bayesian Optimization Based Deep Learning Approach to Diagnose COVID-19 from X-Ray ImagesDOI 10.21203/rs.3.rs-58531/v1
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