Cited 2 times in
Automatic Facial Recognition System Assisted-facial Asymmetry Scale Using Facial Landmarks
DC Field | Value | Language |
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dc.date.accessioned | 2022-09-02T01:08:42Z | - |
dc.date.available | 2022-09-02T01:08:42Z | - |
dc.date.issued | 2020-09 | - |
dc.identifier.issn | 1531-7129 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/189998 | - |
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.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Lippincott Williams & Wilkins | - |
dc.relation.isPartOf | OTOLOGY & NEUROTOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Facial Asymmetry | - |
dc.subject.MESH | Facial Paralysis* / diagnosis | - |
dc.subject.MESH | Facial Recognition* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Reproducibility of Results | - |
dc.subject.MESH | Retrospective Studies | - |
dc.title | Automatic Facial Recognition System Assisted-facial Asymmetry Scale Using Facial Landmarks | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Otorhinolaryngology (이비인후과학교실) | - |
dc.contributor.googleauthor | Se A Lee | - |
dc.contributor.googleauthor | Jin Kim | - |
dc.contributor.googleauthor | Jeon Mi Lee | - |
dc.contributor.googleauthor | Yu-Jin Hong | - |
dc.contributor.googleauthor | Ig-Jae Kim | - |
dc.contributor.googleauthor | Jong Dae Lee | - |
dc.identifier.doi | 10.1097/MAO.0000000000002735 | - |
dc.relation.journalcode | J02454 | - |
dc.identifier.eissn | 1537-4505 | - |
dc.identifier.pmid | 33169952 | - |
dc.identifier.url | https://journals.lww.com/otology-neurotology/Fulltext/2020/09000/Automatic_Facial_Recognition_System.32.aspx | - |
dc.subject.keyword | Autonomic facial nerve grading system | - |
dc.subject.keyword | Facial nerve paralysis | - |
dc.subject.keyword | Facial asymmetry scale | - |
dc.citation.volume | 41 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 1140 | - |
dc.citation.endPage | 1148 | - |
dc.identifier.bibliographicCitation | OTOLOGY & NEUROTOLOGY, Vol.41(8) : 1140-1148, 2020-09 | - |
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