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

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 .

See also : Perinatal and Neonatal Infections , An Issue of Clinics in Perinatology (Volume 48-2) (The Clinics: Orthopedics, Volume 48-2) (Original PDF from Publisher)