Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis

1st Edition - January 16, 2018

Write a review

  • Authors: Nilanjan Dey, Amira Ashour, Fuquian Shi, Valentina E. Balas
  • Paperback ISBN: 9780128130872
  • eBook ISBN: 9780128131749

Purchase options

Purchase options
Available
DRM-free (EPub, Mobi, PDF)
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order

Description

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions.

Key Features

  • Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence
  • Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain
  • Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Readership

Biomedical Engineers, Neural Engineers, scientific researchers, software developers, medical engineering designers, software/hardware medical device developers and engineers and technology developers

Table of Contents

  • 1. Medical image/signal processing theory and algorithms
    2. Computer-aided diagnosis, detection or surgery systems
    3. Medical informatics
    4. Medical video, image, or signal analysis
    5. Medical image motion analysis
    6. Evolutional medical image processing
    7. Hybrid soft computing approaches
    a. Machine learning
    b. Neural networks
    c. Neural networks for medical applications
    d. Fuzzy image processing for medical applications
    e. Enhancement of medical images using fuzzy models
    f. Fuzzy expert systems
    g. Neuro-fuzzy systems
    h. Deep learning
    8. Medical video, image, or signal processing using soft computing techniques
    a. Medical image enhancement
    b. Medical image de-noising
    c. Medical image compression
    d. Medical image reconstruction
    e. Medical feature extraction and pattern recognition
    f. Medical image segmentation
    g. Medical image classification
    9. Medical image/signal acquisition theory, algorithms, or systems
    10. Soft computing techniques in the medical domain
    11. Genetic algorithms for medical applications
    12. Evolutionary computing for medical applications
    13. Application of medical image processing and soft computing application of image processing
    14. New trends and challenges in soft computing based medical imaging

Product details

  • No. of pages: 292
  • Language: English
  • Copyright: © Academic Press 2018
  • Published: January 16, 2018
  • Imprint: Academic Press
  • Paperback ISBN: 9780128130872
  • eBook ISBN: 9780128131749

About the Authors

Nilanjan Dey

Nilanjan Dey is Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He has authored/edited more than 70 books with Elsevier, CRC Press, and SpringerNature, and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global), Associated Editor of IEEE Access, and International Journal of Information Technology (Springer). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer), Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier), Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis (CRC). His main research interests include medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing—Young ICT Group and Senior member of IEEE.

Affiliations and Expertise

Assistant Professor, Department of Information Technology, Techno India College of Technology, Rajarhat, Kolkata, India

Amira Ashour

Amira S. Ashour is an Assistant Professor and Head of Electronics and Electrical Communications Engineering Department, Faculty of Engineering, Tanta University, Egypt. She is a member in the Research and Development Unit, Faculty of Engineering, Tanta University, Egypt. She received the B.Eng. degree in Electrical Engineering from Faculty of Engineering, Tanta University, Egypt in 1997, M.Sc. in Image Processing in 2001 and Ph.D. in Smart Antenna in 2005 from Faculty of Engineering, Tanta University, Egypt. Ashour 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, Biomedical Systems, Pattern recognition, Image analysis, Computer vision, Computer-aided detection and diagnosis systems, Optimization, and Neutrosophic theory. She has 15 books and about 150 published journal papers. She is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US.

Affiliations and Expertise

Assistant Professor and Head of Electronics and Electrical Communications Engineering Department, Faculty of Engineering, Tanta University, Egypt

Fuquian Shi

Fuqian Shi (M’08-SM’10) was born in Wenzhou, China in 1975. He received the Bachelor degree in Wenzhou University, China in 1997, M.Sc. in Zhejiang University of Technology in 2006 and Ph.D. in 2011 from Zhejiang University, China. graduated from College of Computer Science and Technology, Zhejiang University. He is currently an Associate Professor at College of Information and Engineering, Wenzhou Medical University, China. He was invited as Visiting Associate Professor at Department of Industrial Engineering and Management System, University of Central Florida, USA from 2012 to 2014. His research interests include biomedical engineering, fuzzy inference system, and artificial neuro networks. Dr. Shi is a senior member of IEEE, membership of ACM, and sever as over 20 committee board membership of international conferences; Dr. Shi also serve as Associate Editors of International Journal of Ambient Computing and Intelligence (IJACI) and International Journal of Rough Sets and Data Analysis (IJRSDA). Dr. Shi is a reviewer of IEEE Trans. Fuzzy System, IEEE Trans. SMC, Information Sciences, etc. He published over 50 journal papers and conference proceedings.

Affiliations and Expertise

College of Information and Engineering, Wenzhou Medical University, Wenzhou, PR China

Valentina E. Balas

Valentina E. Balas
Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.

Affiliations and Expertise

Full Professor, Department of Automatics and Applied Software, Faculty of Engineering, "Aurel Vlaicu" University of Arad, Arad, Romania

Ratings and Reviews

Write a review

There are currently no reviews for "Soft Computing Based Medical Image Analysis"