Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 (Original PDF from Publisher)
authored by S. Prabha
This book’s objective is to introduce fresh computational methods and tools for examining the clinical ,
epidemiological and public health implications of the SARS-CoV-2 and COVID-19 pandemic .
The application of soft computing methods , such machine learning algorithms , for the analysis of the epidemiological
features of the SARS-CoV-2 is discussed in the book .
The detection of COVID-19 lesions in lung CT and X-ray images is explained in this book’s new computational
image processing approaches in great detail .
The severity of the SARS-CoV-2 infection is examined using a variety of computational techniques .
The book gives a thorough explanation of the algorithms that might help with a mass screening of SARS-CoV-2 infected cases .
Finally, the book illustrates how to use machine learning and conventional epidemiological models to anticipate
how the COVID-19 outbreak would develop .
Through case studies , it also offers instances from actual life .
The book is meant for researchers , postgraduate students , biomedical engineers , mathematicians and medical
scientists who are involved in the detection and monitoring of infectious diseases .
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