Intelligent Diagnosis of Lung Cancer and Respiratory Diseases
eBook - ePub

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases

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

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases

About this book

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases presents information about diseases of the respiratory system and the relevant diagnostic imaging techniques. The book focuses on intelligent diagnostic imaging systems. The first section of the book deals with the physiological underpinnings of 3 major diseases that affect the respiratory system: tuberculosis, lung cancer and COVID-19. This section also explains the basic principles of artificial Intelligence that support the diagnosis of these diseases. The next section presents applications of intelligent systems to support the imaging diagnosis of COVID-19 and lung cancer, with emphasis on digital health and telemedicine approaches. Each chapter is organized into a readable format, and is accompanied with detailed bibliographical information for further reading. This book is a reference for everyone seeking to understand how artificial intelligence can provide solutions for diagnostic support systems by processing and analyzing radiological images to improve early diagnosis and, consequently, lung disease prognosis.

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.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. 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 Intelligent Diagnosis of Lung Cancer and Respiratory Diseases by Wellington Pinheiro dos Santos,Juliana Carneiro Gomes,Maíra Araújo de Santana, Wellington Pinheiro dos Santos, Juliana Carneiro Gomes, Maíra Araújo de Santana in PDF and/or ePUB format, as well as other popular books in Medicine & Radiology, Radiotherapy & Nuclear Medicine. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. FOREWORD
  6. PREFACE
  7. List of Contributors
  8. Principles of Respiratory Diseases - Tuberculosis a Brief Study
  9. Physiological Basis for the Indication of Mechanical Ventilation
  10. Artificial Intelligence in the Diagnosis of Diseases of the Respiratory System
  11. COVID-19: Clinical, Immunological, and Image Findings from Infection to Post-COVID Syndrome
  12. Unveiling Distinguished Methodologies for the Diagnosis of COVID-19
  13. E-Health, M-Health and Telemedicine for the Covid-19 Pandemic
  14. Absolute Images Reconstruction in Heart and Lungs for COVID-19 Patients using Multifrequencial Electrical Impedance Tomography System and D-Bar Method
  15. Lung Cancer Diagnosis: Where we are and where we will Go? Classical and Innovative Applications in the Diagnosis of Lung Cancer
  16. 3D Reconstruction of Lung Tumour Using Deep Auto-encoder Network and a Novel Learning-Based Approach