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In this paper we propose a novel method to automatically detect the polyp's ROI (Region Of Interest) based on a Gaussian Mixture Model, Esperance Maximization algorithm segmentation, Hough transform and region growing. Our main objective through this work is to help in the early detection and precise analyze for the polyps diagnosis, which is a huge apport for the health care. The experimental results...
Computer tomography (CT) and magnetic resonance imaging (MR, MRI) are modern and valuable diagnostic methods in a wide range of medical applications. Their significant advantage lies in the ability to image individual slices of the patient. The presented article details our software allowing the viewing of individual slices, slice reconstruction in various projections, detailed analysis of slices...
Early diagnosis of Breast Cancer is the key to improve survival rate. Infrared thermal imaging or thermography is a promising screening tool as it is able to warn women of breast cancer ten years in advance. However, interpretation of a thermogram can be inconsistent. In order to improve the accuracy of preliminary breast cancer screening using thermogram, image segmentation is proposed as an automatic...
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