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3D cephalometric landmark detection by multiple stage deep reinforcement learning

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dc.contributor.author이상휘-
dc.date.accessioned2021-11-19T01:38:00Z-
dc.date.available2021-11-19T01:38:00Z-
dc.date.issued2021-09-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/185954-
dc.description.abstractThe lengthy time needed for manual landmarking has delayed the widespread adoption of three-dimensional (3D) cephalometry. We here propose an automatic 3D cephalometric annotation system based on multi-stage deep reinforcement learning (DRL) and volume-rendered imaging. This system considers geometrical characteristics of landmarks and simulates the sequential decision process underlying human professional landmarking patterns. It consists mainly of constructing an appropriate two-dimensional cutaway or 3D model view, then implementing single-stage DRL with gradient-based boundary estimation or multi-stage DRL to dictate the 3D coordinates of target landmarks. This system clearly shows sufficient detection accuracy and stability for direct clinical applications, with a low level of detection error and low inter-individual variation (1.96 ± 0.78 mm). Our system, moreover, requires no additional steps of segmentation and 3D mesh-object construction for landmark detection. We believe these system features will enable fast-track cephalometric analysis and planning and expect it to achieve greater accuracy as larger CT datasets become available for training and testing.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherNature Publishing Group-
dc.relation.isPartOfSCIENTIFIC REPORTS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.title3D cephalometric landmark detection by multiple stage deep reinforcement learning-
dc.typeArticle-
dc.contributor.collegeCollege of Dentistry (치과대학)-
dc.contributor.departmentDept. of Oral and Maxillofacial Surgery (구강악안면외과학교실)-
dc.contributor.googleauthorSung Ho Kang-
dc.contributor.googleauthorKiwan Jeon-
dc.contributor.googleauthorSang-Hoon Kang-
dc.contributor.googleauthorSang-Hwy Lee-
dc.identifier.doi10.1038/s41598-021-97116-7-
dc.contributor.localIdA02839-
dc.relation.journalcodeJ02646-
dc.identifier.eissn2045-2322-
dc.identifier.pmid34471202-
dc.contributor.alternativeNameLee, Sang Hwy-
dc.contributor.affiliatedAuthor이상휘-
dc.citation.volume11-
dc.citation.number1-
dc.citation.startPage17509-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, Vol.11(1) : 17509, 2021-09-
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Oral and Maxillofacial Surgery (구강악안면외과학교실) > 1. Journal Papers

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