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COVID-19 Detection using Chest X-Ray

2021·2 Zitationen·E3S Web of ConferencesOpen Access
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2

Zitationen

5

Autoren

2021

Jahr

Abstract

Over the past few months, the exponential increase in COVID-19 cases has been overwhelming for many healthcare systems across the world. With 114 million cases globally as of 28th February 2021, with India itself having 11.1 million cases, it has challenged us with the testing, quarantine, and safety measures. Having limited testing kits, not all patients that have symptoms of respiratory illness can be tested using conventional techniques (RT-PCR). In this project, we propose the use of chest X-Ray to prioritize the selection of patients for further RT-PCR testing. It would also help in identifying patients with a high likelihood of COVID with a false negative RT-PCR who would wish to repeat testing. Further, we propose the utilization of recent AI techniques to detect the COVID-19 patients automatically using X-Ray images, particularly in settings where radiologists aren’t available, and help make the proposed testing technology scalable.

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Themen

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education
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