Cited 0 times in
3D cephalometric landmark detection by multiple stage deep reinforcement learning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이상휘 | - |
dc.date.accessioned | 2021-11-19T01:38:00Z | - |
dc.date.available | 2021-11-19T01:38:00Z | - |
dc.date.issued | 2021-09 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/185954 | - |
dc.description.abstract | The 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.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Nature Publishing Group | - |
dc.relation.isPartOf | SCIENTIFIC REPORTS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | 3D cephalometric landmark detection by multiple stage deep reinforcement learning | - |
dc.type | Article | - |
dc.contributor.college | College of Dentistry (치과대학) | - |
dc.contributor.department | Dept. of Oral and Maxillofacial Surgery (구강악안면외과학교실) | - |
dc.contributor.googleauthor | Sung Ho Kang | - |
dc.contributor.googleauthor | Kiwan Jeon | - |
dc.contributor.googleauthor | Sang-Hoon Kang | - |
dc.contributor.googleauthor | Sang-Hwy Lee | - |
dc.identifier.doi | 10.1038/s41598-021-97116-7 | - |
dc.contributor.localId | A02839 | - |
dc.relation.journalcode | J02646 | - |
dc.identifier.eissn | 2045-2322 | - |
dc.identifier.pmid | 34471202 | - |
dc.contributor.alternativeName | Lee, Sang Hwy | - |
dc.contributor.affiliatedAuthor | 이상휘 | - |
dc.citation.volume | 11 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 17509 | - |
dc.identifier.bibliographicCitation | SCIENTIFIC REPORTS, Vol.11(1) : 17509, 2021-09 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.