[Research on multi-class orthodontic image recognition system based on deep learning network model].

Wang, S F; Xie, X J; Zhang, L; Chang, S; Zuo, F F; Wang, Y J; Bai, Y X

Wang, S F; Xie, X J; Zhang, L; Chang, S; Zuo, F F; Wang, Y J; Bai, Y X.

Afiliación

Wang SF; Department of Orthodontics, Capital Medical University School of Stomatology, Beijing 100050, China.
Xie XJ; Department of Orthodontics, Capital Medical University School of Stomatology, Beijing 100050, China.
Zhang L; Department of Orthodontics, Capital Medical University School of Stomatology, Beijing 100050, China.
Chang S; Department of Orthodontics, Capital Medical University School of Stomatology, Beijing 100050, China.
Zuo FF; LargeV Instrument Corp., Ltd, Beijing 100084, China.
Wang YJ; LargeV Instrument Corp., Ltd, Beijing 100084, China.
Bai YX; Department of Orthodontics, Capital Medical University School of Stomatology, Beijing 100050, China.

Zhonghua Kou Qiang Yi Xue Za Zhi ; 58(6): 561-568, 2023 Jun 09.

Article en Zh | MEDLINE | ID: mdl-37272001

Asunto(s)

Aprendizaje Profundo; Humanos; Masculino; Femenino; Preescolar; Niño; Adolescente; Adulto Joven; Adulto; Persona de Mediana Edad; Reproducibilidad de los Resultados; Radiografía; Algoritmos; Tomografía Computarizada de Haz Cónico

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: Zh Revista: Zhonghua Kou Qiang Yi Xue Za Zhi Asunto de la revista: ODONTOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China

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