[sbis_l] Call for Chapters: Biomedical Computing for Breast Cancer Detection and Diagnosis
terça-feira, 9 de julho de 2019
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 proposals, please 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
mairaasantana@hotmail.com
Washington Wagner Azevedo da Silva
Department of Biomedical Engineering, Federal University of
Pernambuco, Recife, Brazil
waswagner@gmail.com
Wellington Pinheiro dos Santos
Department of Biomedical Engineering, Federal University of
Pernambuco, Recife, Brazil
wellington.santos@ufpe.br
--
------------------------------------------------------------------
Wellington Pinheiro dos Santos, DSc
Professor Associado
Departamento de Engenharia Biomédica
Centro de Tecnologia e Geociências
Universidade Federal de Pernambuco
Recife, Brasil
wellington.santos@ufpe.br / twitter: @wellpin
Currículo Lattes: http://lattes.cnpq.br/6413917211782026
--
--
----------------------------------------------------------
Seja associado da SBIS!
Visite o site www.sbis.org.br
---
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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 proposals, please 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
mairaasantana@hotmail.com
Washington Wagner Azevedo da Silva
Department of Biomedical Engineering, Federal University of
Pernambuco, Recife, Brazil
waswagner@gmail.com
Wellington Pinheiro dos Santos
Department of Biomedical Engineering, Federal University of
Pernambuco, Recife, Brazil
wellington.santos@ufpe.br
--
------------------------------------------------------------------
Wellington Pinheiro dos Santos, DSc
Professor Associado
Departamento de Engenharia Biomédica
Centro de Tecnologia e Geociências
Universidade Federal de Pernambuco
Recife, Brasil
wellington.santos@ufpe.br / twitter: @wellpin
Currículo Lattes: http://lattes.cnpq.br/6413917211782026
--
--
----------------------------------------------------------
Seja associado da SBIS!
Visite o site www.sbis.org.br
---
Você está recebendo esta mensagem porque se inscreveu no grupo "Sociedade Brasileira de Informática em Saúde - Lista de Discussão" dos Grupos do Google.
Para cancelar inscrição nesse grupo e parar de receber e-mails dele, envie um e-mail para sbis_l+unsubscribe@googlegroups.com.
Para ver esta discussão na web, acesse https://groups.google.com/d/msgid/sbis_l/CAC6bnK-X7nKq_9byXg1W-yUBKQ2de9AXQEKTofW-85ymrmP5GA%40mail.gmail.com.
Para obter mais opções, acesse https://groups.google.com/d/optout.
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