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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, segmentat… 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.
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
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Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.
He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.
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