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Title : Detection of Covid-19 Using A Deep-Learning CT Scan Image Classifier
Author : VIJAYA BHASKAR MADGULA, DIGALA RAGHAVARAJU, TALARI SIVALAKSHMI
global spread of the COVID-19 epidemic has caused widespread fear and destruction. The very infectious SARSCoV- 2 virus has impacted almost every country on Earth. In the early stages of a viral outbreak, efficient isolation and patient care are necessary to inhibit the spread of the virus. In the present day, RT-PCR testing is used to confirm the medical condition. Nonetheless, studies and other publications have shown that RT-PCR's sensitivity may not be sufficient for the early diagnosis and treatment of individuals suspected of having COVID-19. Recent years have seen remarkable progress in medical imaging employing AI powered by deep learning technologies. Applying deep learning allowed for rapid and precise diagnosis of bacterial and viral pneumonia in chest computed tomography imaging. One imaging method that has been useful in the early detection and screening of COVID-19 is the computed tomography (CT) scan. Our primary objective is to develop and deploy a Deep
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Dr. Arend L Mapanawang, Sp.PD, FINASIM, PhD
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