Data & IT
Computational Modelling and Imaging for SARS-CoV-2 and COVID-19
S Prabha • P Karthikeyan • K Kamalanand • N Selvaganesan
Inbunden
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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.
- Illustratör: black and white 10 Tables 41 Line drawings, black and white 42 Halftones black and white 83
- Format: Inbunden
- ISBN: 9780367695293
- Språk: Engelska
- Antal sidor: 146
- Utgivningsdatum: 2021-09-03
- Förlag: CRC Press