Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 (ORIGINAL PDF from Publisher)

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. Product details Publisher ‏ : ‎ CRC Press; 1st edition (September 3, 2021) Language ‏ : ‎ English Hardcover ‏ : ‎ 160 pages ISBN-10 ‏ : ‎ 0367695294 ISBN-13 ‏ : ‎ 978-0367695293 ISBN-13 ‏ : ‎ 9780367695293 eText ISBN: 9781000439373