Editors: "Wellington P. dos Santos", "Juliana C. Gomes", "Maíra A. de Santana", "Valter A. F. Barbosa"

Series Title: Intelligent Systems in Radiology

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases

eBook: US $79 Special Offer (PDF + Printed Copy): US $126
Printed Copy: US $87
Library License: US $316
ISBN: 978-981-5050-51-6 (Print)
ISBN: 978-981-5050-50-9 (Online)
Year of Publication: 2022
DOI: 10.2174/97898150505091220101


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 a 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.


Review 1

Respiratory Diseases, especially the endemic tuberculosis, the rampant COVID-19, and the always gravely concerning lung cancer are growing health problems. Scientists from a wide spectrum should tackle them very seriously. To address this, in a comprehensive, authoritative and technological manner the book Intelligent Diagnosis of Lung Cancer and Respiratory Diseases portrays artificial intelligence associated with medical practice as effective means to health support systems. The book covers a large front ranging from methodological to pragmatic aspects that are central for processing and analyzing radiological images. The interested reader will learn how theory and practice can blend to, in a fresh way, improve early diagnosis and respiratory disease prognosis.

Fernando Buarque,
Escola Politécnica de Pernambuco, Universidade de Pernambuco,
Recife, Brazil