Call for Book Chapters:

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases

Editors:

Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil

Juliana Carneiro Gomes, Polytechnique School of The University of Pernambuco, Brazil

Maíra Araújo de Santana, Polytechnique School of The University of Pernambuco, Brazil

Valter Augusto de Freitas Barbosa, Federal University of Pernambuco, Brazil

Introduction

The series of books Intelligent Systems in Radiology aims to present the principles and advances of diagnostic techniques in Radiology based on Artificial Intelligence, from the perspective of the advent of Digital Health. The series consists of three books. Each of them is divided into two parts: one dedicated to theoretical foundations and the other to radiological applications in the real world. This call for chapters is dedicated to the first volume.

The first book, Intelligent Diagnosis of Lung Cancer and Respiratory Diseases, is dedicated to the diagnosis of diseases of the respiratory tract or those that seriously affect the respiratory system. In the first part, the physiological foundations of the respiratory system and the formation of radiographic images and x-ray computed tomography are presented. Principles of respiratory diseases are also presented, including lung cancer, viral and bacterial pneumonia, tuberculosis, and Covid-19. In addition, the principles of pattern recognition and machine learning and the main theoretical and practical tools are also briefly presented, and libraries in the programming languages ​​Python, Java and Matlab are also commented. The second part presents innovative works and systematic reviews of intelligent applications in the diagnosis of lung cancer, tuberculosis, viral and bacterial pneumonias, and Covid-19.

No publication fee will be demanded from the authors of the accepted chapters.

The Objective of the Book

This book series is intended for readers interested in intelligent systems to support diagnosis in Radiology. The series is composed by three books. The first one, Intelligent Diagnosis of Lung Cancer and Respiratory Diseases, the focus of this call, is dedicated to diagnosis of respiratory diseases. The second book covers the diagnosis and treatment of neurodegenerative diseases. The last book is dedicated to Neuroscience applications, from clinical to affective computing applications. All books present comprehensible theoretical fundamentals both from clinical and computer engineering perspectives.

Target Audience

This book is intended to everyone who needs to understand how radiological images, neuroscience and artificial intelligence could work together to generate solutions in the context of intelligent diagnosis support and applied neuroscience and how intelligent systems could process and analyze images to improve early diagnosis and, consequently, prognosis of diseases.

Recommended Topics

Contributors may submit proposals on topics that include, but are not limited to, those listed below. The chapters may take various forms.

Part I: Fundamentals

1. Physiology of the respiratory system

2. Fundamentals of x-ray images and computerized tomography

3. Principles of lung cancer and respiratory diseases

4. Principles of pattern recognition and machine learning

5. Principles of image processing

6. Computer-aided image diagnosis

7. Computational tools and tutorials on Python, Java and Matlab

Part II: Applications

1. Lung cancer

2. Tuberculosis

3. Viral and bacterial pneumonias

4. Covid-19

5. Emergent imaging techniques

Submission process

Potential contributors are invited to submit, on or before January 31, 2021, an abstract of 300 – 400 words proposal (excluding references) that presents the intended contributions of their chapter, intended approach and methodology.

In addition, authors should provide the following:

· Proposed titles of their chapters

· The theme (see above) of their intended chapters

· Full names

· E-mail addresses and

· Affiliations

Chapters submitted must not have been published, accepted for publication, or under consideration for publication anywhere else.

Proposals and full chapters should be submitted via EasyChair according to the following link:

https://easychair.org/conferences/?conf=idlcrd2020

By February 15, 2021, potential authors will be notified about the status of their proposed chapters. When accepted, the authors will receive further information regarding the submission process, including the formatting guidelines.

Full chapters should be submitted on or before April 16, 2021 in a single attached Word or LaTeX file with the Copyright Letter. References should follow IEEE standards. The authors should follow the formatting rules in this link:

https://benthambooks.com/manuscript-organization.php

Final submissions should be approximately 4,000-5,000 words in length, excluding references, figures, tables, and appendices. All chapters will be peer-reviewed. No fees will be demanded from the authors at any stage.

Full chapters are expected to be at least 25 pages in length, font size of 10pt for the abstract, 12pt for the body text, and single-spaced paragraphs.

Key deadlines

• January 31, 2021 - Proposal submission deadline (300-400 words)

• February 15, 2021 - Notification of acceptance of proposal

• April 16, 2021 - First draft of full chapter submission

• April 30, 2021 - Revision submission

• May 14, 2021 - Final acceptance notification

• December 2021 - Publication

Publisher

The book will be published by Bentham Science Publisher until December 2021.

Please address any questions you may have to Prof. Wellington Pinheiro dos Santos - [email protected].