Book Volume 1
Preface
Page: iii-iv (2)
Author: Wellington Pinheiro dos Santos, Juliana Carneiro Gomes, Maíra Araújo de Santana and Valter Augusto de Freitas Barbosa
DOI: 10.2174/9789815050509122010002
Principles of Respiratory Diseases - Tuberculosis a Brief Study
Page: 1-24 (24)
Author: K. S. Mithra*
DOI: 10.2174/9789815050509122010004
PDF Price: $30
Abstract
Physiological Basis for the Indication of Mechanical Ventilation
Page: 25-54 (30)
Author: Ananda M. A. Gonçalves, Angela I. de B. Ferreira, Beatriz Cabral P. Carneiro, Francilaide Ester de C. Xavier, Giovanna Fiorentino, Guilherme Albuquerque de F. Monteiro, Gutembergmann B. Coutinho, Arianne Sarmento Torcate* and Mirela Carolaine C. da Cruz
DOI: 10.2174/9789815050509122010005
PDF Price: $30
Abstract
Artificial Intelligence in the Diagnosis of Diseases of the Respiratory System
Page: 55-75 (21)
Author: Leticia M. Seijas* and Byron L. D. Bezerra
DOI: 10.2174/9789815050509122010006
PDF Price: $30
Abstract
COVID-19: Clinical, Immunological, and Image Findings from Infection to Post-COVID Syndrome
Page: 76-98 (23)
Author: Georon Ferreira de Sousa, Guilherme Antonio de Souza Silva, Bárbara Rafaela da Silva Barros, Rodrigo Cesar Abreu de Aquino, Maríllia Raphaella Cabral Fonseca de Lima, Leonardo Carvalho de Oliveira Cruz, Elifrances Galdino de Oliveira, Igor Wesland Assunção de Sá, Fábio Augusto da Cunha Rodrigues, Francisco Hélio Oliveira, Antonio Carlos de Freitas, Evônio de Barros Campelo Júnior and Cristiane Moutinho Lagos de Melo*
DOI: 10.2174/9789815050509122010007
PDF Price: $30
Abstract
The SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) is a
virus responsible for the COVID-19 pandemic outbreak. The virus has high infectious
power and easy ability to spread geographically, due to the fact that the infection is
asymptomatic in some cases. However, 25% of patients infected by SARS-CoV-2 can
progress to the severity of the disease and develop acute respiratory distress syndrome
(ARDS). The symptoms are commonly recognized as fever, dry cough, tachypnea,
shortness of breath, sore throat, sneezing, nasal congestion, and other symptoms,
including severe inflammatory responses with the evolution of cytokine storm,
pneumonia, and sepsis. Here, we show the COVID-19 since infection in the host cell to
Post-COVID-19 syndrome, relating the occurrence of virus variants, laboratory and
immunological aspects, the major clinical manifestations and image findings, and all
aspects associated with pulmonary damage promoted by the virus.
Unveiling Distinguished Methodologies for the Diagnosis of COVID-19
Page: 99-120 (22)
Author: Michelle Melgarejo da Rosa*, Michelly Cristiny Pereira, Vanessa Mylenna Florêncio de Carvalho, Ana Paula da Fonseca Arcoverde Cabral de Mello, Crislaine Xavier da Silva, Bárbara de Oliveira Silva, Anderson Félix dos Santos, Rayssa Evelyn Valentim de Moraes Souza and Maira Galdino da Rocha Pitta
DOI: 10.2174/9789815050509122010008
PDF Price: $30
Abstract
E-Health, M-Health and Telemedicine for the Covid-19 Pandemic
Page: 121-129 (9)
Author: Ana Sofia Miranda de Albuquerque*, Maria Amanda Pérez de Oliveira and Cristine Martins Gomes de Gusmão
DOI: 10.2174/9789815050509122010009
PDF Price: $30
Abstract
Absolute Images Reconstruction in Heart and Lungs for COVID-19 Patients using Multifrequencial Electrical Impedance Tomography System and D-Bar Method
Page: 130-225 (96)
Author: Julia G. B. Wolff*, Wellington P. dos Santos and Pedro Bertemes-Filho
DOI: 10.2174/9789815050509122010010
PDF Price: $30
Abstract
Lung Cancer Diagnosis: Where we are and where we will Go? Classical and Innovative Applications in the Diagnosis of Lung Cancer
Page: 226-274 (49)
Author: Rodrigo Santiago Moreira, Cesar Freire de Melo Vasconcelos, Michelly Cristiny Pereira*, Rafaella Ferreira das Neves, Thiago Douberin da Silva, Maryllia Morais da Silva, Rhayssa Mendes de Lucena, Silvia Maria de Souza, Gabriel Guerra Cordeiro, Yasmin Barreto França de Farias and Celine Beatriz Swollon Pegado
DOI: 10.2174/9789815050509122010011
PDF Price: $30
Abstract
3D Reconstruction of Lung Tumour Using Deep Auto-encoder Network and a Novel Learning- Based Approach
Page: 275-307 (33)
Author: Mozhgan Vazifehdoostirani and Abbas Ahmadi*
DOI: 10.2174/9789815050509122010012
PDF Price: $30
Abstract
Introduction
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.