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A convolutional deep learning model for improving mammographic breast-microcalcification diagnosis.
Kang, Daesung; Gweon, Hye Mi; Eun, Na Lae; Youk, Ji Hyun; Kim, Jeong-Ah; Son, Eun Ju.
Afiliação
  • Kang D; Department of Healthcare Information Technology, Inje University, Gimhae, Republic of Korea.
  • Gweon HM; Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.
  • Eun NL; Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.
  • Youk JH; Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.
  • Kim JA; Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.
  • Son EJ; Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea. ejsonrd@yuhs.ac.
Sci Rep ; 11(1): 23925, 2021 12 14.
Article em En | MEDLINE | ID: mdl-34907330
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mama / Doenças Mamárias / Calcinose / Mamografia / Bases de Dados Factuais / Aprendizado Profundo / Modelos Teóricos Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mama / Doenças Mamárias / Calcinose / Mamografia / Bases de Dados Factuais / Aprendizado Profundo / Modelos Teóricos Idioma: En Ano de publicação: 2021 Tipo de documento: Article