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The paper develops the automatic methods of segmentation of the blood vessel area in the images of the multi-slice computed tomography, allowing to separate the lumen from the atherosclerotic plaque areas. The solution is based on the application of different implementations of thresholding, including between class variance in a bimodal mode, Gaussian mixture modeling, clustering technique, polynomial...
The paper presents the automatic system for blood cells recognition in the leukaemia on the basis of the image of the bone marrow smear. To achieve the best results of recognition few important problems should be solved: extraction of the individual cell image, generation of the appropriate features of the cell, selection of the features and final recognition using efficient classifier network. The...
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