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

S. Prabha (Curatore)

P. Karthikeyan (Curatore)

Taylor & Francis Ltd, 2021

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.

• Curatore: S. Prabha, P. Karthikeyan
• Editore: Taylor & Francis Ltd
• Anno: 2021
• Rilegatura: Hardback
• Pagine: 146 p.
• Dimensioni: 234 x 156 mm
• Peso: 358 gr.
• EAN: 9780367695293

Testo in English