Improved Diagnostic Accuracy of Ameloblastoma and Odontogenic Keratocyst on Cone-Beam CT by Artificial Intelligence.

Chai, Zi-Kang; Mao, Liang; Chen, Hua; Sun, Ting-Guan; Shen, Xue-Meng; Liu, Juan; Sun, Zhi-Jun

Chai, Zi-Kang; Mao, Liang; Chen, Hua; Sun, Ting-Guan; Shen, Xue-Meng; Liu, Juan; Sun, Zhi-Jun.

Afiliação

Chai ZK; The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Mao L; The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Chen H; Department of Oral Maxillofacial-Head Neck Oncology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Sun TG; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China.
Shen XM; The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Liu J; The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Sun ZJ; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China.

Front Oncol ; 11: 793417, 2021.

Article em En | MEDLINE | ID: mdl-35155194

Palavras-chave

Inception v3; ameloblastoma; cone-beam CT; convolutional neural network; deep learning; odontogenic keratocyst

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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