Lecture Notes in Computational Vision and Biomechanics

Classification in BioApps

Automation of Decision Making

Editors: Dey, Nilanjan, Ashour, Amira, Borra, Surekha (Eds.)

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  • Provides broad background information on and solutions to existing challenges in classifiers used for biomedical applications
  • Addresses various applications for the classification of biomedical signals from consumer and industry perspectives
  • Highlights recent developments and topics of interest in machine learning techniques for the classification of biomedical signals
  • Discusses the design and performance analysis of various existing classification techniques
  • Includes standards for, challenges in, and recommendations for classifiers in biomedical applications
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-65981-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-65980-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges.

Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization.

In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals. 

About the authors

Nilanjan Dey is an Assistant Professor in the Department of Information Technology, Techno India College of Technology, Kolkata, W.B., India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, Bulgaria. Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. His research topic is Medical Imaging, Soft computing, Data mining, Machine learning, Rough set, Computer Aided Diagnosis, Atherosclerosis. He has 20 books and 300 international conferences and journal papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US, International Journal of Rough Sets and Data Analysis (IGI Global), US, the International Journal of Synthetic Emotions (IJSE), IGI Global, US, and International Journal of Natural Computing Research (IGI Global), US. Series Editor of Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, and Associated Editor of IEEE Access journal and the International Journal of Service Science, Management, Engineering and Technology, IGI Global. He is a life member of IE, UACEE, ISOC.
Amira S. Ashour is currently an Assistant Professor and Head of Department-EEC, Faculty of Engineering, Tanta University, Egypt. She has been the Vice Chair of Computer Engineering Department, Computers and Information Technology College, Taif University, KSA for one year from 2015. She has been the vice chair of CS department, CIT college, Taif University, KSA for 5 years. Her research interests are Smart antenna, Direction of arrival estimation, Targets tracking, Image processing, Medical imaging, Machine learning, Signal/image/video processing, Image analysis, Computer vision, and Optimization. She has 6 books and about 70 published journal papers. She is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US. She is an Associate Editor for the IJRSDA, IGI Global, US as well as the IJACI, IGI Global, US. She is an Editorial Board Member of the International Journal of Image Mining (IJIM), Inderscience.
Surekha Borra is currently a Professor in the Department of ECE, K. S. Institute of Technology, Bangalore, India.  She earned her Doctorate in Image Processing from Jawaharlal Nehru Technological University, Hyderabad, India, in 2015.  Her research interests are in the areas of Image and Video Analytics, Machine Learning, Biometrics and Remote Sensing. She has published several book chapters and research papers to her credit in refereed & indexed journals, and conferences at international and national levels. Her international recognition includes her professional memberships & services in refereed organizations, programme committees, editorial & review boards, wherein she has been a guest editor for 2 journals and reviewer for journals published by IEEE, IET, Elsevier, Taylor & Francis, Springer, IGI-Global etc,. She has received the Woman Achiever's Award from The Institution of Engineers (India), for her prominent research and innovative contributions, the Woman Educator & Scholar Award for her contributions to teaching and scholarly activities, and the Young Woman Achiever Award for her contribution in Copyright Protection of Images.

Table of contents (15 chapters)

  • Medical Imaging and Its Objective Quality Assessment: An Introduction

    Thanki, Rohit (et al.)

    Pages 3-32

  • A Novel Approach for the Classification of Liver MR Images Using Complex Orthogonal Ripplet-II and Wavelet-Based Transforms

    Canbilen, Ayşe Elif (et al.)

    Pages 33-56

    Preview Buy Chapter 30,19 €
  • ECG Based Myocardial Infarction Detection Using Different Classification Techniques

    Kora, Padmavathi (et al.)

    Pages 57-77

  • Classification and Decision Making of Medical Infrared Thermal Images

    Vardasca, Ricardo (et al.)

    Pages 79-104

    Preview Buy Chapter 30,19 €
  • Evaluating the Efficacy of Gabor Features in the Discrimination of Breast Density Patterns Using Various Classifiers

    Kriti, (et al.)

    Pages 105-131

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-65981-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-65980-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Classification in BioApps
Book Subtitle
Automation of Decision Making
Editors
  • Nilanjan Dey
  • Amira Ashour
  • Surekha Borra
Series Title
Lecture Notes in Computational Vision and Biomechanics
Series Volume
26
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-65981-7
DOI
10.1007/978-3-319-65981-7
Hardcover ISBN
978-3-319-65980-0
Series ISSN
2212-9391
Edition Number
1
Number of Pages
XIII, 447
Number of Illustrations
105 b/w illustrations, 123 illustrations in colour
Topics