Titlebook: Information Technologies in Biomedicine; Volume 2 Ewa Pi?tka,Jacek Kawa Conference proceedings 2010 Springer Berlin Heidelberg 2010 Biomate

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Segmentation of Stained Lymphoma Tissue Section Imagesgmentation is proposed. The method works on images acquired from immunohistochemically stained thin tissue sections of lymph nodes coming from patients with folicular lymphoma diagnosis. The proposed method of segmentation consists of: pre-processing, adaptive threshold, watershed segmentation and p

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Anterior and Posterior Cruciate Ligament – Extraction and 3D Visualizationegion of interest including cruciate ligaments (CL) is outlined. The automatic method of location of the CL on the T1W MR knee images is based on fuzzy C-means (FCM) algorithm with median modification. The next step of that process is an extraction of the cruciate ligament structure using the fuzzy

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Combined DICOM and HL7 Viewer in Support of a Bridge from Content-Based Image Retrieval to Computer-mation hidden in the images for retrieval, it facilitates the identification of similar past examinations, thereby providing a second opinion. Still, CBIR is not an integral part of a radiologist’s daily work. A comprehensive representation of CBIR results in a standard format utilizing established

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Reconstruction of the Pelvic Region Based on the Statistical Shape Modelinges were highly unsatisfied because of large shape differences between the harvested transplant and the site to be reconstructed. There exists a huge demand for patient-specific and anatomically shaped implants. In this paper we propose a new pelvis reconstruction planning approach based on the stati

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of great practical importance. Positive approximation processes play an important role in approximation theory and appear in a very natural way dealing with approximation of continuous functions, especially one, which requires further qualitative properties, such as monotonicity, convexity, and sha