A deep learning framework to scale linear facial measurements to actual size using horizontal visible iris diameter: a study on an Iranian population.

Pirayesh, Zeynab; Hassanzadeh-Samani, Sahel; Farzan, Arash; Rohban, Mohammad Hossein; Ghorbanimehr, Mohammad Soroush; Mohammad-Rahimi, Hossein; Motamedian, Saeed Reza

Pirayesh, Zeynab; Hassanzadeh-Samani, Sahel; Farzan, Arash; Rohban, Mohammad Hossein; Ghorbanimehr, Mohammad Soroush; Mohammad-Rahimi, Hossein; Motamedian, Saeed Reza.

Afiliação

Pirayesh Z; Department of Orthodontics and Dentofacial Orthopedics, School of Dentistry, Zanjan University of Medical Sciences, Zanjan, Iran.
Hassanzadeh-Samani S; Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany.
Farzan A; Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany.
Rohban MH; Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ghorbanimehr MS; Department of Orthodontics and Dentofacial Orthopedics, School of Dentistry, Zanjan University of Medical Sciences, Zanjan, Iran.
Mohammad-Rahimi H; Computer Engineering Department, Sharif University of Technology, Tehran, Iran.
Motamedian SR; Department of Computer Sciences and Software Engineering, Concordia University, Montreal, Canada.

Sci Rep ; 13(1): 13755, 2023 08 23.

Article em En | MEDLINE | ID: mdl-37612309

Assuntos

Aprendizado Profundo; Gênero Iris; Humanos; Irã (Geográfico); Face; Fácies; Iris

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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