Soft Computing Based Medical Image Analysis - 1st Edition - ISBN: 9780128130872

Soft Computing Based Medical Image Analysis

1st Edition

Authors: Nilanjan Dey Amira Ashour Fuquian Shi Valentina E. Balas
Paperback ISBN: 9780128130872
Imprint: Academic Press
Published Date: 30th January 2018
Page Count: 170
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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

Details

No. of pages:
170
Language:
English
Copyright:
© Academic Press 2018
Published:
Imprint:
Academic Press
Paperback ISBN:
9780128130872

About the Author

Nilanjan Dey

Nilanjan Dey was born in Kolkata, India, in 1984. He received his B.Tech. degree in Information Technology from West Bengal University of Technology in 2005, M.Tech. in Information Technology in 2011 from the same University and Ph.D. in digital image processing in 2015 from Jadavpur University, India. In 2011, he was appointed as an Asst. Professor in the Department of Information Technology at JIS College of Engineering, Kalyani, India followed by Bengal College of Engineering College, Durgapur, India in 2014. He is now employed as an Asst. Professor in Department of Information Technology, Techno India College of Technology, India. His research topic is signal processing, machine learning and information security. Dey is an Associate Editor of IEEE Access Journal and is currently the Editor in-Chief of the International Journal of Ambient Computing and Intelligence, International Journal of Rough Sets and Data Analysis, International Journal of Natural Computing Research, Co-Editor-in-Chief of International Journal of Synthetic Emotion (IGI Global), US, Series Editor of Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US.

Affiliations and Expertise

Department of Information Technology, Techno India College of Technology, India

Amira Ashour

Amira S. Ashour was born in Tanta, Egypt, in 1975. She is graduated from Faculty of Engineering, Tanta University, Egypt in 1997. She received her Master degree in Electrical Engineering in 2001from the same university and Ph.D. in smart antenna in 2005 from the Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. In 2005, she was appointed as a lecturer in the Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. She was the Vice Chair of CS department, CIT College, Taif University, KSA from 2009 till 2015. She was the Vice Chair of Computer Engineering Department, Computers and Information Technology College, Taif University, KSA for one year in 2015. She is now employed as an Assistant Professor and Head of Department in Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. Her research topics are smart antenna, direction of arrival estimation, targets tracking, image processing, medical imaging, machine learning, and image analysis. Amira Ashour is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US. She is an Associate Editor for the International Journal of Rough Sets and Data Analysis, IGI Global, US as well as the International Journal of Ambient Computing and Intelligence, IGI Global, US. She is an Editorial Board Member of the International Journal of Image Mining (IJIM), Inderscience. She published over 80 journal papers and conference proceedings.

Affiliations and Expertise

Department of Electronics and Electrical Communications Engineering, 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 is currently Full Professor at “Aurel Vlaicu” University of Arad, Romania. She is author of more than 180 research papers. Her research interests are in intelligent systems, fuzzy control, and soft Computing. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to IJCSE. Dr. Balas is member of EUSFLAT, ACM and a SM IEEE, and a member of TC – EC and TC-FS (IEEE CIS), TC – SC (IEEE SMCS), Joint Secretary FIM.

Affiliations and Expertise

Department of Automation and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Romania