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Editors
Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil
Washington Wagner Azevedo da Silva, Federal University of Pernambuco, Brazil
Maira Araujo de Santana, Federal University of Pernambuco, Brazil
Call for Chapters
Proposals Submission Deadline: August 18, 2019
Full Chapters Due: October 31, 2019
Submission Date: February 8, 2020
Introduction
Despite the good prognosis when diagnosed early, breast cancer is one of the most fatal forms of cancer for women. Breast cancer can target all women, regardless of social class. The availability of effective methods for the detection and classification of breast lesions can determine mortality. Imaging diagnosis is still one of the most efficient ways to detect early breast changes, among the techniques most used is mammography. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions, e.g. breast thermography and electrical impedance tomography. Artificial Intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. In this book we propose to present a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis.
Objective
In this book we propose to present a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis.
Target Audience
Academics, graduate and postgraduate students in Medicine, Biomedicine, Biomedical Engineering, and Computer Science.
Recommended Topics
- Anatomy and physiology of mammary tissue
- Breast cancer and its dynamics
- Imaging techniques for breast cancer diagnosis
- Mammography and applications
- Mammary ultra-sound and applications
- Mammary thermography and applications
- Electrical impedance tomography for breast cancer diagnosis
- Principles of Artificial Intelligence
- Principles of Artificial Neural Networks and Deep Learning
- Intelligent systems for breast cancer diagnosis
- Biomedical computing applications to improve breast cancer diagnosis
Submission Procedure
Researchers and practitioners are invited to submit on or before August 18, 2019, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by September 1, 2019, about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by October 31, 2019, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Trust in Knowledge Management and Systems in Organizations. All manuscripts are accepted based on a double-blind peer review editorial process. All proposals should be submitted through the eEditorial Discovery®TM online submission manager.
To submit a proposal, visit:
https://www.igi-global.com/publish/call-for-papers/submit/4196
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2020.
Important Dates
August 18, 2019: Proposal Submission Deadline
September 1, 2019: Notification of Acceptance
October 31, 2019: Full Chapter Submission
November 30, 2019: Review Results Returned
January 25, 2020: Final Acceptance Notification
February 8, 2020: Final Chapter Submission
Inquiries
Maira Araujo de Santana
Department of Biomedical Engineering, Federal University of Pernambuco, Recife, Brazil
[email protected]
Washington Wagner Azevedo da Silva
Department of Biomedical Engineering, Federal University of Pernambuco, Recife, Brazil
[email protected]
Wellington Pinheiro dos Santos
Department of Biomedical Engineering, Federal University of Pernambuco, Recife, Brazil
[email protected]
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