Development and Evaluation of an Early Detection of COVID-19 Pneumonia Using CT Images

Abstract

In December 2019, an epidemic of a novel corona virus disease was indentified in Wuhan, China, which quickly spread across the world as a pandemic. This terrible virus had caused respiratory failure and alveolar damage in all, resulting in complete death. The use of a reverse transcription polymerase laboratory test to predict this virus results in a high rate of false positives and a significant time delay. As a result, chest CT images have become a valuable diagnostic method for the Covid-19. In this study, we propose using machine learning to detect and identify the corona, resulting in a timely and accurate report.

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