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207: Medical Image Analysis & Pattern Recognition

 

Medical Image Analysis & Pattern Recognition

 

Faculty

Ass. Prof. John Kalatzis, Prof. Dionysis Cavouras, Dr. Spyridon Kostopoulos

Content

Introduction - Basic concepts (image, feature, pattern, learning, classification), Classification (MD, LSMD quadratic, Bayesian, ANN, PNN, Support vector machines), Generation of features, Feature selection, System-design and system performance evaluation

 

Objectives

To present to MP students the importance of image analysis within the clinical diagnosis procedure and to provide them with the available methodologies for image classification, as well as hands-on experience on feature selection and pattern recognition using MATLAB.