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Tooth caries classification with quantitative light-induced fluorescence (QLF) images using convolutional neural network for permanent teeth in vivo.
Park, Eun Young; Jeong, Sungmoon; Kang, Sohee; Cho, Jungrae; Cho, Ju-Yeon; Kim, Eun-Kyong.
Afiliação
  • Park EY; Department of Dentistry, College of Medicine, Yeungnam University, Daegu, South Korea.
  • Jeong S; Research Center for Artificial Intelligence in Medicine, Kyungpook National University Hospital, Daegu, South Korea.
  • Kang S; Department of Medical Informatics, School of Medicine, Kyungpook National University, Daegu, South Korea.
  • Cho J; Department of Dentistry, College of Medicine, Yeungnam University, Daegu, South Korea.
  • Cho JY; Research Center for Artificial Intelligence in Medicine, Kyungpook National University Hospital, Daegu, South Korea.
  • Kim EK; Department of Dentistry, Dongsan Hospital, Keimyung University School of Medicine, Daegu, South Korea.
BMC Oral Health ; 23(1): 981, 2023 12 08.
Article em En | MEDLINE | ID: mdl-38066624
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dente / Cárie Dentária / Fluorescência Quantitativa Induzida por Luz Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dente / Cárie Dentária / Fluorescência Quantitativa Induzida por Luz Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article