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Soft Computing Based Medical Image Analysis
1st Edition - January 16, 2018
Authors: Nilanjan Dey, Amira S. Ashour, Fuquian Shi, Valentina Emilia Balas
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 1 3 0 8 7 - 2
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 1 3 1 7 4 - 9
Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement,… Read more
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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.
- 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
Biomedical Engineers, Neural Engineers, scientific researchers, software developers, medical engineering designers, software/hardware medical device developers and engineers and technology developers
1. Medical image/signal processing theory and algorithms2. Computer-aided diagnosis, detection or surgery systems3. Medical informatics4. Medical video, image, or signal analysis5. Medical image motion analysis6. Evolutional medical image processing7. Hybrid soft computing approachesa. Machine learningb. Neural networksc. Neural networks for medical applicationsd. Fuzzy image processing for medical applicationse. Enhancement of medical images using fuzzy modelsf. Fuzzy expert systemsg. Neuro-fuzzy systemsh. Deep learning8. Medical video, image, or signal processing using soft computing techniquesa. Medical image enhancementb. Medical image de-noisingc. Medical image compressiond. Medical image reconstructione. Medical feature extraction and pattern recognitionf. Medical image segmentationg. Medical image classification9. Medical image/signal acquisition theory, algorithms, or systems10. Soft computing techniques in the medical domain11. Genetic algorithms for medical applications12. Evolutionary computing for medical applications13. Application of medical image processing and soft computing application of image processing14. New trends and challenges in soft computing based medical imaging
- No. of pages: 292
- Language: English
- Published: January 16, 2018
- Imprint: Academic Press
- Paperback ISBN: 9780128130872
- eBook ISBN: 9780128131749
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Nilanjan Dey
Nilanjan Dey is an 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, and also holds the position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held the honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He got his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing (Wiley) and an editorial board member of Complex & Intelligent Systems (Springer Nature), Applied Soft Computing (Elsevier), and more. He has written 110 books and over 300 other publications in the areas of medical imaging, machine learning, computer aided diagnosis, data mining, etc. His works have been cited over 15,000 times. He is India’s Ambassador to the International Federation for Information Processing—Young ICT Group and a senior member of IEEE.
Affiliations and expertise
Department of Computer Science & Engineering, Maulana Abul Kalam Azad JIS University, Agarpara, Kolkata, India.AA
Amira S. 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, EgyptFS
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 ChinaVE
Valentina Emilia 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