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Diagnostic Performance of Artificial Intelligence-Based Computer-Aided Detection Software for Automated Breast Ultrasound.
Kwon, Mi-Ri; Youn, Inyoung; Lee, Mi Yeon; Lee, Hyun-Ah.
Afiliação
  • Kwon MR; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea (M.K., I.Y., H.-A.L.).
  • Youn I; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea (M.K., I.Y., H.-A.L.). Electronic address: iy.youn@samsung.com.
  • Lee MY; Division of Biostatistics, Department of R&D Management, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (M.Y.L.).
  • Lee HA; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea (M.K., I.Y., H.-A.L.).
Acad Radiol ; 31(2): 480-491, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37813703
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Middle aged Idioma: En Revista: Acad Radiol Ano de publicação: 2024 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: Neoplasias da Mama / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Middle aged Idioma: En Revista: Acad Radiol Ano de publicação: 2024 Tipo de documento: Article