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Development of a machine learning-based fine-grained risk stratification system for thyroid nodules using predefined clinicoradiological features.
Ha, Eun Ju; Lee, Jeong Hoon; Lee, Da Hyun; Na, Dong Gyu; Kim, Ji-Hoon.
Afiliação
  • Ha EJ; Department of Radiology, Ajou University School of Medicine, Wonchon-Dong, Yeongtong-Gu, Suwon, 16499, South Korea.
  • Lee JH; Department of Radiology, Ajou University School of Medicine, Wonchon-Dong, Yeongtong-Gu, Suwon, 16499, South Korea.
  • Lee DH; Department of Radiology, Ajou University School of Medicine, Wonchon-Dong, Yeongtong-Gu, Suwon, 16499, South Korea.
  • Na DG; Department of Radiology, GangNeung Asan Hospital, University of Ulsan College of Medicine, Gangneung-si, Gangwon-do, 25440, South Korea.
  • Kim JH; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea. jihnkim@gmail.com.
Eur Radiol ; 33(5): 3211-3221, 2023 May.
Article em En | MEDLINE | ID: mdl-36600122
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Glândula Tireoide / Nódulo da Glândula Tireoide Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Glândula Tireoide / Nódulo da Glândula Tireoide Idioma: En Ano de publicação: 2023 Tipo de documento: Article