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

S. Prabha, P. Karthikeyan, K. Kamalanand, N. Selvaganesan, S. Prabha, P. Karthikeyan, K. Kamalanand, N. Selvaganesan

• Verlag: CRC Press
• Jahr: 2021
• ISBN:
  9781000439373
• Auflage: 1
• Thema: Medicine
• Thema: Diagnostics Imaging

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.