Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 Paperback / softback
Edited by S. Prabha, P. Karthikeyan, K. Kamalanand, N. Selvaganesan
Paperback / softback
Description
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:146 pages, 10 Tables, black and white; 41 Line drawings, black and white; 42 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:25/09/2023
- Category:
- ISBN:9780367696245
Information
-
Out of stock
- Format:Paperback / softback
- Pages:146 pages, 10 Tables, black and white; 41 Line drawings, black and white; 42 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:25/09/2023
- Category:
- ISBN:9780367696245