Hierarchical CNN-based occlusal surface morphology analysis for classifying posterior tooth type using augmented images from 3D dental surface models.

Chen, Qingguang; Huang, Junchao; Salehi, Hassan S; Zhu, Haihua; Lian, Luya; Lai, Xiaomin; Wei, Kaihua

Chen, Qingguang; Huang, Junchao; Salehi, Hassan S; Zhu, Haihua; Lian, Luya; Lai, Xiaomin; Wei, Kaihua.

Afiliação

Chen Q; School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China. Electronic address: optichen@hdu.edu.cn.
Huang J; School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China.
Salehi HS; Department of Electrical and Computer Engineering, California State University, Chico, 95929, United States.
Zhu H; Hospital of Stomatology of Zhejiang University, Hangzhou, 310018, China.
Lian L; Hospital of Stomatology of Zhejiang University, Hangzhou, 310018, China.
Lai X; School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China.
Wei K; School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China.

Comput Methods Programs Biomed ; 208: 106295, 2021 Sep.

Article em En | MEDLINE | ID: mdl-34329895

Assuntos

Redes Neurais de Computação; Dente; Humanos; Dente/diagnóstico por imagem

Palavras-chave

3D dental surface model; Grad-cam; Hierarchical CNN; Image augmentation; Tooth type classification

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dente / Redes Neurais de Computação Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Ano de publicação: 2021 Tipo de documento: Article

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