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Titlebook: Computational Methods and Clinical Applications for Spine Imaging; Third International Tomaž Vrtovec,Jianhua Yao,Shuo Li Conference procee

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Bauten der paranoiden Phantasie,any vertebrae are visible. Multiple random forest regressors were trained to identify vertebral end-plates, providing estimates of both the location and pose of the vertebrae. The highest-weighted responses from each model were combined using a Hough-style voting array. A graphical approach was then
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Bauten der paranoiden Phantasie,trasound (US) and computerised tomography (CT) scans, effectively handling the US limited depth and low signal-to-noise ratio. Previously proposed methods are accurate, but their convergence rate is considerably reduced with initial misalignments of the datasets greater than . or 30 mm. We propose a
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https://doi.org/10.1007/978-3-658-01380-6ological traumas and pathologies. Segmentation is especially challenging in the presence of pathology such as vertebral compression fractures. In this paper, we propose a method to produce segmentations for osteoporotic compression fractured vertebrae by applying a multi-atlas joint label fusion tec
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Mainz Faas,Johannes N. Blumenberg as well as existing pathology, of the lumbar spine. Prior knowledge, such as expected shape and variation within a sample population, can be incorporated through statistical shape models to optimize the image segmentation process. This paper describes a framework for construction of statistical sha
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Arne Spieker,Frank Brettschneider scans. The system builds upon the localization and segmentation system first introduced by Lootus et al. with several improvements to the localization step. The system was trained on T1 and T2 scans of 341 patients obtained from various sources. The proposed system achieved a mean localization erro
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