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Computational Modelling and Imaging for SARS-CoV-2 and COVID-19; 1
by Prabha S.
English | 2021 | ISBN: 0367695294 | 161 pages | True PDF | 47.07 MB

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.

Code:

https://nitro.download/view/2BA7E238937218B/Computational_Modelling_and_Imaging_for_SARS-CoV-2_and_COVID-19.pdf

Code:

https://rapidgator.net/file/f6d671ff65da8031240d2b43cb70e9d0/Computational_Modelling_and_Imaging_for_SARS-CoV-2_and_COVID-19.pdf.html