Computational Modelling and Imaging for SARS-CoV-2 and COVID-19

Bys: Prabha, S., Karthikeyan, P., Kamalanand, K., et al.

Book Overview

The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.

• Format: Paperback
• Language: English
• ISBN: 036769624X
• ISBN13: 9780367696245
• Release Date: September 2021
• Publisher: CRC Press
• Length: 146 Pages
• Weight: 0.52 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"