Prabha S. - Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 - Druckversion +- Forum Rockoldies (https://rockoldies.net/forum) +-- Forum: E BOOKS - AUDIOBOOKS (https://rockoldies.net/forum/forumdisplay.php?fid=9) +--- Forum: novels, non-fiction and newspapers english (https://rockoldies.net/forum/forumdisplay.php?fid=11) +---- Forum: Literature (https://rockoldies.net/forum/forumdisplay.php?fid=31) +---- Thema: Prabha S. - Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 (/showthread.php?tid=33610) |
Prabha S. - Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 - Panter - 21.08.2021 Computational Modelling and Imaging for SARS-CoV-2 and COVID-19; 1 by Prabha S. English | 2021 | ISBN: 0367695294 | 161 pages | True PDF | 47.07 MB 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. Download from Nitroflare: Download from Rapidgator: |