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Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.
Lin, Yixiong; Shi, Mengru; Xiang, Dawei; Zeng, Peisheng; Gong, Zhuohong; Liu, Haiwen; Liu, Quan; Chen, Zhuofan; Xia, Juan; Chen, Zetao.
Afiliación
  • Lin Y; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
  • Shi M; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
  • Xiang D; School of Mathematics, Sun Yat-sen University, Guangzhou, China.
  • Zeng P; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
  • Gong Z; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
  • Liu H; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
  • Liu Q; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
  • Chen Z; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
  • Xia J; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
  • Chen Z; Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, China.
J Periodontol ; 93(12): 1951-1960, 2022 12.
Article en En | MEDLINE | ID: mdl-35150132

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Estética Dental Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: J Periodontol Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Estética Dental Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: J Periodontol Año: 2022 Tipo del documento: Article País de afiliación: China
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