Covid-19 Analysis using Chest X-Rays and CT-Scan

Anshita Sinha*, Sonali Singh**, Mohammad Sohail Shekh***, Vinita Kumari Pal****
*-**** Shri Shankaracharya Technical Campus, Junwani, Bhilai, Chhattisgarh, India.
Periodicity:April - June'2022
DOI : https://doi.org/10.26634/jse.16.4.18756

Abstract

COVID-19 is commonly known as a novel coronavirus disease, which is a highly contagious disease that emerged in China in late 2019. This disease is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It is a virus belonging to the large family of coronaviruses. The disease first emerged in Wuhan, China in 2019 and then quickly developed into a global pandemic, spreading to more than 213 countries. The well-known symptoms of COVID-19 are fever, shortness of breath, dry cough, and other symptoms. Pain or difficulty breathing may occur. Most of these symptoms point to signs of respiratory infections and lung abnormalities that can be detected by radiologists. So, chest xray and computed tomography images can be used with machine learning algorithms to find the disease.

Keywords

COVID-19, Polymerase Chain Reaction, Computed Tomography, VGG16, ResNet50, InceptionV3, and Xception.

How to Cite this Article?

Sinha, A., Singh, S., Shekh, M. S., and Pal, V. K. (2022). Covid-19 Analysis using Chest X-Rays and CT-Scan. i-manager’s Journal on Software Engineering, 16(4), 1-8. https://doi.org/10.26634/jse.16.4.18756

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