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[Research status and outlook of deep learning in oral and maxillofacial medical imaging].
Liu, M Q; Fu, K Y.
Afiliação
  • Liu MQ; Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
  • Fu KY; Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
Zhonghua Kou Qiang Yi Xue Za Zhi ; 58(6): 533-539, 2023 Jun 09.
Article em Zh | MEDLINE | ID: mdl-37305929
ABSTRACT
Artificial intelligence, represented by deep learning, has received increasing attention in the field of oral and maxillofacial medical imaging, which has been widely studied in image analysis and image quality improvement. This narrative review provides an insight into the following applications of deep learning in oral and maxillofacial imaging detection, recognition and segmentation of teeth and other anatomical structures, detection and diagnosis of oral and maxillofacial diseases, and forensic personal identification. In addition, the limitations of the studies and the directions for future development are summarized.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Idioma: Zh Revista: Zhonghua Kou Qiang Yi Xue Za Zhi Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Idioma: Zh Revista: Zhonghua Kou Qiang Yi Xue Za Zhi Ano de publicação: 2023 Tipo de documento: Article