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

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

  1. 146 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

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

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 by S. Prabha, P. Karthikeyan, K. Kamalanand, N. Selvaganesan, S. Prabha,P. Karthikeyan,K. Kamalanand,N. Selvaganesan in PDF and/or ePUB format, as well as other popular books in Medicine & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2021
Print ISBN
9780367696245
eBook ISBN
9781000439373
Edition
1
Topic
Medicine
Subtopic
Computer Science General

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Editors
  8. Contributors
  9. Chapter 1 Artificial Intelligence Based COVID-19 Detection using Medical Imaging Methods: A Review
  10. Chapter 2 Review on Imaging Features for COVID-19
  11. Chapter 3 Investigation of COVID-19 Chest X-ray Images using Texture Features – A Comprehensive Approach
  12. Chapter 4 Efficient Diagnosis using Chest CT in COVID-19: A Review
  13. Chapter 5 Automatic Mask Detection and Social Distance Alerting Based on a Deep-Learning Computer Vision Algorithm
  14. Chapter 6 Review of effective Mathematical Modelling of Coronavirus Epidemic and Effect of drone Disinfection
  15. Chapter 7 ANFIS Algorithm based Modeling and Forecasting of the COVID-19 Epidemic: A Case Study in Tamil Nadu, India
  16. Chapter 8 Prediction and Analysis of SARS-CoV-2 (COVID-19) Epidemic in India using LSTM Network
  17. Index