Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children.

Kim, Jihoon; Hwang, Jae Joon; Jeong, Taesung; Cho, Bong-Hae; Shin, Jonghyun

Kim, Jihoon; Hwang, Jae Joon; Jeong, Taesung; Cho, Bong-Hae; Shin, Jonghyun.

Afiliación

Kim J; Department of Pediatric Dentistry, School of Dentistry, Pusan National University, Yangsan, South Korea.
Hwang JJ; Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Yangsan, South Korea.
Jeong T; Dental and Life Science Institute & Dental Research Institute, School of Dentistry, Pusan National University, Yangsan, South Korea.
Cho BH; Dental and Life Science Institute & Dental Research Institute, School of Dentistry, Pusan National University, Yangsan, South Korea.
Shin J; Department of Pediatric Dentistry, School of Dentistry, Pusan National University, Yangsan, South Korea.

Dentomaxillofac Radiol ; 51(7): 20210528, 2022 Sep 01.

Article en En | MEDLINE | ID: mdl-35731733

Asunto(s)

Aprendizaje Profundo; Diente; Niño; Humanos; Diente Molar; Radiografía Panorámica

Palabras clave

artificial intelligence; deep learning; mesiodens; posterior molar space; radiography

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diente / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Child / Humans Idioma: En Revista: Dentomaxillofac Radiol Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Reino Unido

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