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Journal ArticleOpen Access

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

Author Affiliations
Jagannath University, Mawlana Bhashani Science and Technology University, Jahangirnagar University, The University of Sydney, ...
Published InComputers in Biology and Medicine
Year2021
Citations127

Abstract

Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have made significant progress in detecting and containing this disease, most underdeveloped countries are still struggling to identify COVID-19 cases in large populations. With the rising number of COVID-19 cases, there are often insufficient COVID-19 diagnostic kits and related resources in such countries. However, other basic diagnostic resources often do exist, which motivated us to develop Deep Learning models to assist clinicians and radiologists to provide prompt diagnostic support to the patients. In this study, we have developed a deep learning-based COVID-19 case detection model trained with a dataset consisting of chest CT scans and X-ray images. A…
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