Automatic Facial Recognition System Assisted-facial Asymmetry Scale Using Facial Landmarks
DC Field | Value | Language |
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dc.contributor.author | Lee, Se A. | - |
dc.contributor.author | Kim, Jin | - |
dc.contributor.author | Lee, Jeon Mi | - |
dc.contributor.author | Hong, Yu-Jin | - |
dc.contributor.author | Kim, Ig-Jae | - |
dc.contributor.author | Lee, Jong Dae | - |
dc.date.accessioned | 2021-08-11T08:32:52Z | - |
dc.date.available | 2021-08-11T08:32:52Z | - |
dc.date.issued | 2020-09 | - |
dc.identifier.issn | 1531-7129 | - |
dc.identifier.issn | 1537-4505 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/2489 | - |
dc.description.abstract | Objectives: This study aimed to demonstrate the application of our automated facial recognition system to measure facial nerve function and compare its effectiveness with other conventional systems and provide a preliminary evaluation of deep learning-facial grading systems. Study Design: Retrospective, observational. Setting: Tertiary referral center, hospital. Patients: Facial photos taken from 128 patients with facial paralysis and two persons with no history of facial palsy were analyzed. Intervention: Diagnostic. Main Outcome Measures: Correlation with Sunnybrook (SB) and House-Brackmann (HB) grading scales. Results: Our results had good reliability and correlation with other grading systems (r = 0.905 and 0.783 for Sunnybrook and HB grading scales, respectively), while being less time-consuming than Sunnybrook grading scale. Conclusions: Our objective method shows good correlation with both Sunnybrook and HB grading systems. Furthermore, this system could be developed into an application for use with a variety of electronic devices, including smartphones and tablets. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Lippincott Williams & Wilkins Ltd. | - |
dc.title | Automatic Facial Recognition System Assisted-facial Asymmetry Scale Using Facial Landmarks | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1097/MAO.0000000000002735 | - |
dc.identifier.scopusid | 2-s2.0-85096080200 | - |
dc.identifier.wosid | 000588497000037 | - |
dc.identifier.bibliographicCitation | Otology and Neurotology, v.41, no.8, pp 1140 - 1148 | - |
dc.citation.title | Otology and Neurotology | - |
dc.citation.volume | 41 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 1140 | - |
dc.citation.endPage | 1148 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalResearchArea | Otorhinolaryngology | - |
dc.relation.journalWebOfScienceCategory | Clinical Neurology | - |
dc.relation.journalWebOfScienceCategory | Otorhinolaryngology | - |
dc.subject.keywordPlus | RELIABILITY | - |
dc.subject.keywordPlus | SUNNYBROOK | - |
dc.subject.keywordAuthor | Autonomic facial nerve grading system | - |
dc.subject.keywordAuthor | Facial nerve paralysis | - |
dc.subject.keywordAuthor | Facial asymmetry scale | - |
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