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.- 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
Table of Contents
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 approaches8. Medical video, image, or signal processing using soft computing techniques9. 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
