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Computational Modelling and Imaging for SARS-CoV-2 and COVID-19
Engelsk
Bogcover for Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 af , 9780367696245
Specifikationer
Sprog:
Engelsk
Sider:
146
ISBN-13:
9780367696245
Indbinding:
Paperback
ISBN-10:
036769624X
Kategori:
Udg. Dato:
25 sep 2023
Størrelse i cm:
23,4 x 15,6
Oplagsdato:
25 sep 2023
Paperback 2023
Format:

Bog beskrivelse

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.

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Specifikationer
Sprog:
Engelsk
Sider:
146
ISBN-13:
9780367696245
Indbinding:
Paperback
ISBN-10:
036769624X
Kategori:
Udg. Dato:
25 sep 2023
Størrelse i cm:
23,4 x 15,6
Oplagsdato:
25 sep 2023
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