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https://scidar.kg.ac.rs/handle/123456789/11945
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Поље DC-а | Вредност | Језик |
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dc.contributor.author | Cukovic, Sasa | - |
dc.contributor.author | Lukovic V. | - |
dc.contributor.author | Subburaj, Karupppasamy | - |
dc.contributor.author | Birkfellner, Wolfgang | - |
dc.contributor.author | Milošević D. | - |
dc.contributor.author | Ristic, Branko | - |
dc.contributor.author | Devedzic, Goran | - |
dc.date.accessioned | 2021-04-20T19:37:41Z | - |
dc.date.available | 2021-04-20T19:37:41Z | - |
dc.date.issued | 2015 | - |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/11945 | - |
dc.description.abstract | © 2015 IEEE. In this article we describe a 3D methodology to characterize dorsal surface for the diagnosis of idiopathic scoliosis and its implementation. This characterization is based on the set of external and internal parameters recommended by SOSORT consortium. Parameterized 3D model of the spine and 3D optical scans of dorsal surfaces are used to generate patient-specific surface model for the analysis. The methodology is implemented using Visual Basic Application (VBA) macros in a CAD environment to study relationship between dorsal and internal parameters of spinal deformities and 3D visualization. | - |
dc.rights | restrictedAccess | - |
dc.source | 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015 | - |
dc.title | Automated SOSORT-recommended angles measurement in patients with adolescent idiopathic scoliosis | - |
dc.type | conferenceObject | - |
dc.identifier.doi | 10.1109/BIBE.2015.7367716 | - |
dc.identifier.scopus | 2-s2.0-84962850868 | - |
Налази се у колекцијама: | Faculty of Engineering, Kragujevac Faculty of Medical Sciences, Kragujevac Institute for Information Technologies, Kragujevac |
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Датотека | Опис | Величина | Формат | |
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PaperMissing.pdf Ограничен приступ | 29.86 kB | Adobe PDF | Погледајте |
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