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

Book details
Table of contents
Citations

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.

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Yes, you can access Intelligent Diagnosis of Lung Cancer and Respiratory Diseases by Wellington Pinheiro dos Santos, Juliana Carneiro Gomes, Maíra Araújo de Santana in PDF and/or ePUB format, as well as other popular books in Medicina & Radiología, radioterapia y medicina nuclear. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Bentham Science Publishers
Year
2002
ISBN
9789815050509
Topic
Medicina
Subtopic
Radiología, radioterapia y medicina nuclear

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