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

By: S. Prabha

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Synopsis: 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.

Book Quality:: Publisher Quality
Book Size:: 146 Pages
ISBN-13:: 9781000439373
Related ISBNs:: 9780367696245, 9780367695293, 9781003142584
Publisher:: CRC Press
Date of Addition:: 09/03/21
Copyrighted By:: selection and editorial matter, S. Prabha, P. Karthikeyan, K. Kamalanand, N. Selvaganesan
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: S. Prabha
Edited by:: P. Karthikeyan
Edited by:: K. Kamalanand
Edited by:: N. Selvaganesan