الفهرس يوجد فقط 14 صفحة متاحة للعرض العام
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المستخلص
This thesis presents a computer aided detection (CAD) system for the automatic detection and diagnosis of liver cirrhosis. A feature selection method for finding the most significant features is proposed and implemented. The method is based on a ranking the features according to their capability to distinguish between two different classes and was able to reduce the number of extracted features from 15 to only 7 features representing a combination of three feature categories