Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 26)
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Table of contents (15 chapters)
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Front Matter
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Machine Learning Based Detection and Classification
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Front Matter
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Deep Learning and Fuzzy-based Computer Aided Diagnosis
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Front Matter
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Miscellaneous Applications
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Front Matter
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Keywords
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.
Editors and Affiliations
About the editors
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, andOptimization. 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.
Bibliographic Information
Book Title: Classification in BioApps
Book Subtitle: Automation of Decision Making
Editors: Nilanjan Dey, Amira S. Ashour, Surekha Borra
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-3-319-65981-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-65980-0Published: 14 November 2017
Softcover ISBN: 978-3-319-88142-3Published: 25 August 2018
eBook ISBN: 978-3-319-65981-7Published: 10 November 2017
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: XIII, 447
Number of Illustrations: 105 b/w illustrations, 123 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Computer Imaging, Vision, Pattern Recognition and Graphics, Pharmaceutical Sciences/Technology