Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 Contributor(s): Prabha, S. (Editor), Karthikeyan, P. (Editor), Kamalanand, K. (Editor) |
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ISBN: 0367695294 ISBN-13: 9780367695293 Publisher: CRC Press OUR PRICE: $109.25 Product Type: Hardcover - Other Formats Published: September 2021 |
Additional Information |
BISAC Categories: - Medical | Diagnostic Imaging - Radiography - Medical | Pulmonary & Thoracic Medicine - Computers | Machine Theory |
Dewey: 616.241 |
LCCN: 2021013495 |
Physical Information: 0.44" H x 6.14" W x 9.21" (0.89 lbs) 146 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |