879 resultados para Word segmentation
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This paper addresses the issue of fully automatic segmentation of a hip CT image with the goal to preserve the joint structure for clinical applications in hip disease diagnosis and treatment. For this purpose, we propose a Multi-Atlas Segmentation Constrained Graph (MASCG) method. The MASCG method uses multi-atlas based mesh fusion results to initialize a bone sheetness based multi-label graph cut for an accurate hip CT segmentation which has the inherent advantage of automatic separation of the pelvic region from the bilateral proximal femoral regions. We then introduce a graph cut constrained graph search algorithm to further improve the segmentation accuracy around the bilateral hip joint regions. Taking manual segmentation as the ground truth, we evaluated the present approach on 30 hip CT images (60 hips) with a 15-fold cross validation. When the present approach was compared to manual segmentation, an average surface distance error of 0.30 mm, 0.29 mm, and 0.30 mm was found for the pelvis, the left proximal femur, and the right proximal femur, respectively. A further look at the bilateral hip joint regions demonstrated an average surface distance error of 0.16 mm, 0.21 mm and 0.20 mm for the acetabulum, the left femoral head, and the right femoral head, respectively.
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The word 'palaver' is colloquially associated with useless verbiage and the nuisance of a tediously long, aimless and superfluous debate. At the same time, it insinuates an uncivilized culture of discourse beyond reason. Thus it appears to be of vaguely exotic origin but still firmly set in the European lexicon. Yet behind this contemporary meaning there lies a long history of linguistic and cultural transfers which is encased in a context of different usages of language and their intersections. By tracing the usage and semantics of 'palaver' in various encyclopaedias, glossaries and dictionaries of English, French, German, Portuguese and Spanish, the following article explores the rich history of this word. Moreover, it also regards the travelling semantics of the term 'palaver' as a process of cultural transfer that can be likened to the microcellular workings of a (retro)virus. Viral reproduction and evolution work through processes of transfer that enable the alteration of the host to adjust it to the replication and reproduction of the virus. In some cases, these processes also allow for the mutation or modification of the virus, making it suitable for transfer from one host to another. The virus is thus offered here as a vital model for cultural transfer: It not only encompasses the necessary adoption and adaption of contents or objects of cultural transfer in different contexts. It contributes to a conceptual understanding of the transferal residue that the transferred content is endowed with by its diversifying contexts. This model thereby surpasses an understanding of cultural transfer as literal translation or transmission: it conceptualizes cultural transfer as an agent of evolutionary processes, allowing for mutational effects of transfer as endowment.
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Diet-related chronic diseases severely affect personal and global health. However, managing or treating these diseases currently requires long training and high personal involvement to succeed. Computer vision systems could assist with the assessment of diet by detecting and recognizing different foods and their portions in images. We propose novel methods for detecting a dish in an image and segmenting its contents with and without user interaction. All methods were evaluated on a database of over 1600 manually annotated images. The dish detection scored an average of 99% accuracy with a .2s/image run time, while the automatic and semi-automatic dish segmentation methods reached average accuracies of 88% and 91% respectively, with an average run time of .5s/image, outperforming competing solutions.
Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry.
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Information about the size of a tumor and its temporal evolution is needed for diagnosis as well as treatment of brain tumor patients. The aim of the study was to investigate the potential of a fully-automatic segmentation method, called BraTumIA, for longitudinal brain tumor volumetry by comparing the automatically estimated volumes with ground truth data acquired via manual segmentation. Longitudinal Magnetic Resonance (MR) Imaging data of 14 patients with newly diagnosed glioblastoma encompassing 64 MR acquisitions, ranging from preoperative up to 12 month follow-up images, was analysed. Manual segmentation was performed by two human raters. Strong correlations (R = 0.83-0.96, p < 0.001) were observed between volumetric estimates of BraTumIA and of each of the human raters for the contrast-enhancing (CET) and non-enhancing T2-hyperintense tumor compartments (NCE-T2). A quantitative analysis of the inter-rater disagreement showed that the disagreement between BraTumIA and each of the human raters was comparable to the disagreement between the human raters. In summary, BraTumIA generated volumetric trend curves of contrast-enhancing and non-enhancing T2-hyperintense tumor compartments comparable to estimates of human raters. These findings suggest the potential of automated longitudinal tumor segmentation to substitute manual volumetric follow-up of contrast-enhancing and non-enhancing T2-hyperintense tumor compartments.
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by B. Goldgar and I. Mirovitch
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Aus: [Continuator temporis quinquennalis?]
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Bibliograph. Nachweis: Paas P-2083
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Die Illustrationen sind Kupferstiche