Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs

Abstract Facial photographs of the subjects are often used in the diagnosis process of orthognathic surgery. The aim of this study was to determine whether convolutional neural networks (CNNs) can judge soft tissue profiles requiring orthognathic surgery using facial photographs alone. 822 subjects...

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Autores principales:	Seung Hyun Jeong, Jong Pil Yun, Han-Gyeol Yeom, Hun Jun Lim, Jun Lee, Bong Chul Kim
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/60ac178f95e64fcb865e207ee1f34a63
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spelling	oai:doaj.org-article:60ac178f95e64fcb865e207ee1f34a632021-12-02T18:51:28ZDeep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs10.1038/s41598-020-73287-72045-2322https://doaj.org/article/60ac178f95e64fcb865e207ee1f34a632020-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-73287-7https://doaj.org/toc/2045-2322Abstract Facial photographs of the subjects are often used in the diagnosis process of orthognathic surgery. The aim of this study was to determine whether convolutional neural networks (CNNs) can judge soft tissue profiles requiring orthognathic surgery using facial photographs alone. 822 subjects with dentofacial dysmorphosis and / or malocclusion were included. Facial photographs of front and right side were taken from all patients. Subjects who did not need orthognathic surgery were classified as Group I (411 subjects). Group II (411 subjects) was set up for cases requiring surgery. CNNs of VGG19 was used for machine learning. 366 of the total 410 data were correctly classified, yielding 89.3% accuracy. The values of accuracy, precision, recall, and F1 scores were 0.893, 0.912, 0.867, and 0.889, respectively. As a result of this study, it was found that CNNs can judge soft tissue profiles requiring orthognathic surgery relatively accurately with the photographs alone.Seung Hyun JeongJong Pil YunHan-Gyeol YeomHun Jun LimJun LeeBong Chul KimNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-5 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Seung Hyun Jeong Jong Pil Yun Han-Gyeol Yeom Hun Jun Lim Jun Lee Bong Chul Kim Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs
description	Abstract Facial photographs of the subjects are often used in the diagnosis process of orthognathic surgery. The aim of this study was to determine whether convolutional neural networks (CNNs) can judge soft tissue profiles requiring orthognathic surgery using facial photographs alone. 822 subjects with dentofacial dysmorphosis and / or malocclusion were included. Facial photographs of front and right side were taken from all patients. Subjects who did not need orthognathic surgery were classified as Group I (411 subjects). Group II (411 subjects) was set up for cases requiring surgery. CNNs of VGG19 was used for machine learning. 366 of the total 410 data were correctly classified, yielding 89.3% accuracy. The values of accuracy, precision, recall, and F1 scores were 0.893, 0.912, 0.867, and 0.889, respectively. As a result of this study, it was found that CNNs can judge soft tissue profiles requiring orthognathic surgery relatively accurately with the photographs alone.
format	article
author	Seung Hyun Jeong Jong Pil Yun Han-Gyeol Yeom Hun Jun Lim Jun Lee Bong Chul Kim
author_facet	Seung Hyun Jeong Jong Pil Yun Han-Gyeol Yeom Hun Jun Lim Jun Lee Bong Chul Kim
author_sort	Seung Hyun Jeong
title	Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs
title_short	Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs
title_full	Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs
title_fullStr	Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs
title_full_unstemmed	Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs
title_sort	deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/60ac178f95e64fcb865e207ee1f34a63
work_keys_str_mv	AT seunghyunjeong deeplearningbaseddiscriminationofsofttissueprofilesrequiringorthognathicsurgerybyfacialphotographs AT jongpilyun deeplearningbaseddiscriminationofsofttissueprofilesrequiringorthognathicsurgerybyfacialphotographs AT hangyeolyeom deeplearningbaseddiscriminationofsofttissueprofilesrequiringorthognathicsurgerybyfacialphotographs AT hunjunlim deeplearningbaseddiscriminationofsofttissueprofilesrequiringorthognathicsurgerybyfacialphotographs AT junlee deeplearningbaseddiscriminationofsofttissueprofilesrequiringorthognathicsurgerybyfacialphotographs AT bongchulkim deeplearningbaseddiscriminationofsofttissueprofilesrequiringorthognathicsurgerybyfacialphotographs
_version_	1718377387711791104

Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs

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