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A key parameter in metabolic and pathologic studies is the estimation of body tissue distribution. This is a laborious and operator-dependent process. In this work we introduce an unsupervised muscle and fat quantification algorithm based on water only, fat only and water-and-fat MRI images of the mid-thigh area. We first use parametric deformable models to segment the subcutaneous fat and then apply...
This paper presents an automated computed tomography brain segmentation approach used to segment intracranial into brain matters and cerebrospinal fluid in order to detect any asymmetry present. Intracranial midline is used as reference axial where left and right segmented regions are subjectively compared. Two-level Otsu multi-thresholding method has been developed and applied to 213 abnormal cases...
In this paper, the clustering validation of spinal deformity classification by principal component analysis is introduced for the visualization of high dimensional patterns of the scoliosis spinal deformity with their reduced two-dimensional clustering properties. King spinal deformity classification system was used for PCA cluster implementation. The dataset used for this study had 25 spinal deformity...
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