New Frontiers in Communication and Intelligent Systems
A Comprehensive Analysis on COVID-19 Detection using AI Techniques and CT Images
Authors: Anusha K S, Pavan Kumar S P, Harshitha K and Rakesh K R
Publishing Date: 30-04-2022
ISBN: 978-81-95502-00-4
Abstract
COVID-19 (Corona virus) is an infective disease induced by SARS-CoV-2 (novel coronavirus) which was initially materialized in December 2019 at Wuhan and public health emergency was declared on January 30 and March 11, 2020. The WHO declared it an epidemic. Coronavirus SARS-CoV-2 has its ecological origin in bat populations and through zoonotic sources, it is transmitted to humans. The Intermediate zoonotic sources have not been named so far. This COVID-19 has spread globally, giving rise to an existential health crisis across the world. Medical imaging for instance CT (computed tomography) and X-ray plays an indispensable part in the worldwide bear up against COVID-19. This review paper study and analyze AI techniques involved to find the trace of Coronavirus in people using chest CT.
Keywords
Covid-19, CT image, Segmentation, Pneumonia, CNN, U-Net, U-Net++, VB-Net, AI.
Cite as
Anusha K S, Pavan Kumar S P, Harshitha K and Rakesh K R, "A Comprehensive Analysis on COVID-19 Detection using AI Techniques and CT Images", In: Rahul Srivastava and Aditya Kr. Singh Pundir (eds), New Frontiers in Communication and Intelligent Systems, SCRS, India, 2022, pp. 157-163. https://doi.org/10.52458/978-81-95502-00-4-19