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Automated image classification and segmentation techniques are becoming increasingly important in the current medical field for pathology identification. Accurate techniques are highly essential to avoid any fatal results. Artificial intelligence (AI) techniques are highly accurate and hence preferred for automated image classification and segmentation. Various modifications of the conventional Artificial Intelligence Techniques are also available for performance enhancement in terms of accuracy. This book deals with the concepts of AI techniques such as Artificial Neural Networks and Fuzzy Logic Theory for medical image analysis. Modifications of the conventional techniques are also dealt in detail. The application of these techniques are explored in the context of Magnetic Resonance (MR) brain image classification and segmentation. The coverage area of this book is wide and it is useful for both engineering and medical researchers.This book is highly useful for young researchers and post graduate students in the area of medical image processing and computational intelligence techniques.

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