Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13422
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dc.contributor.authorParittotakapron S.
dc.contributor.authorSira-Uksorn P.
dc.contributor.authorChaichanadee P.
dc.contributor.authorPhatrapornnant T.
dc.contributor.authorParittotokkaporn T.
dc.date.accessioned2021-04-05T03:23:53Z-
dc.date.available2021-04-05T03:23:53Z-
dc.date.issued2016
dc.identifier.other2-s2.0-84974603270
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13422-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84974603270&doi=10.1109%2fICTEmSys.2016.7467123&partnerID=40&md5=4a4f4a5a432cd61e74bad7187a927fcd
dc.description.abstractBack deformity studies require marks or labels which are attached on patient's body in order to measure and evaluate the level of severity. Manually marking of anatomical landmarks on two dimensional (2D) image can reduce time-consuming in traditional process but there is difficulty in 2D-visually locating the anatomical landmarks in some patients. Currently, 3D scanners are inexpensive and become widespread in various applications. The advantage of depth information from 3D scanner can assist to locate anatomical landmarks for back surface deformity analysis. In this study, automatically marking methods are assessed and compared among themselves and manual method. The experiments are tested on both phantom and humans. © 2016 IEEE.
dc.subjectDeformation
dc.subjectIntegrated circuits
dc.subjectMultispectral scanners
dc.subjectScanning
dc.subject3-d modeling
dc.subjectAnatomical landmarks
dc.subjectAutomatic marking
dc.subjectContour
dc.subjectDepth information
dc.subjectManual methods
dc.subjectMarking method
dc.subjectTwo dimensional (2D) image
dc.subjectEmbedded systems
dc.titleAn evaluation of automatic marking of anatomical landmarks for back surface deformity analysis
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitation7th International Conference on Information Communication Technology for Embedded Systems 2016, IC-ICTES 2016. (2016), p.61-66
dc.identifier.doi10.1109/ICTEmSys.2016.7467123
Appears in Collections:Scopus 1983-2021

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