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An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images.
Zhang, Na; Liu, Juan; Jin, Yu; Duan, Wensi; Wu, Ziling; Cai, Zhaohui; Wu, Meng.
Afiliação
  • Zhang N; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072, China.
  • Liu J; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072, China. liujuan@whu.edu.cn.
  • Jin Y; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072, China.
  • Duan W; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072, China.
  • Wu Z; Department of Ultrasound, Zhongnan Hospital, Wuhan University, Wuhan, 430072, China.
  • Cai Z; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072, China. zhcai_@whu.edu.cn.
  • Wu M; Department of Ultrasound, Zhongnan Hospital, Wuhan University, Wuhan, 430072, China. wb000713@whu.edu.cn.
BMC Bioinformatics ; 24(1): 315, 2023 Aug 19.
Article em En | MEDLINE | ID: mdl-37598159
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nódulo da Glândula Tireoide Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nódulo da Glândula Tireoide Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article