Inhoudsopgave:
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\u003cp\u003e\u003ci\u003eSoft Computing Based Medical Image Analysis\u003c/i\u003e 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.\u003c/p\u003e\u003cul\u003e \u003cli\u003eCovers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence\u003c/li\u003e \u003cli\u003ePresents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain\u003c/li\u003e \u003cli\u003eHighlights challenges and the future scope for soft computing based medical analysis and processing techniques\u003c/li\u003e\u003c/ul\u003e |
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