Soft Computing Based Medical Image Analysis

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 intelligencePresents transverse research in soft computing formation from various engineering and industrial sectors in the medical domainHighlights challenges and the future scope for soft computing based medical analysis and processing techniques

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 8. Medical video, image, or signal processing using soft computing techniques 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