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Accurate and fully automated segmentation of liver parenchyma in medical images is necessary prerequisites for a variety of clinical and research applications, such as constructing three dimension anatomical model. In this paper, an automatic liver segmentation method based on Support Vector Machines (SVM) has been proposed. Segmentation is started by wavelet transform for image feature extraction...
A computer-aided diagnosis method is reported that allows to objectively identify subjects with connective tissue disorders from sixteen-phase 4D (3D+time) aortic MR images. Our automated segmentation method combines level-set and optimal surface segmentation algorithms so that the final aortic surfaces in all 16 cardiac phases are determined in a single optimization process. The resulting aortic...
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