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An automated classification of Computerized tomography (CT) images method uses Coiflet wavelets to extract features as input for the classifiers. Support Vector Machine (SVM) module is used to classify the images into different classes. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to optimize the parameters C and gamma of the RBF(More)
Computerized tomography uses X-rays, and a computer to create detailed body image. CT scan images are called tomograms having more detail than standard X-rays. Content-based image retrieval (CBIR) of medical images, according to its domain specific image features, is a valuable tool for physicians. A method for automatic classification of computed(More)
BACKGROUND Gingival bleeding is considered as an important clinical sign for diagnosis of periodontal disease pathogenesis. Immune inflammatory reactions caused by local factors are considered as essential reasons for gingival bleeding, as also for the systemic bleeding disorders. In disease-free conditions of gingiva, the bleeding disorders are considered(More)
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