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Corrigendum: Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance.
Lee, Si Eun; Kim, Hye Jung; Jung, Hae Kyoung; Jung, Jin Hyang; Jeon, Jae-Han; Lee, Jin Hee; Hong, Hanpyo; Lee, Eun Jung; Kim, Daham; Kwak, Jin Young.
Afiliación
  • Lee SE; Department of Radiology, Yongin Severance Hospital, College of Medicine, Yonsei University, Yongin-si, Republic of Korea.
  • Kim HJ; Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
  • Jung HK; Department of Radiology, CHA University Bundang Medical Center, Seongnam-si, Republic of Korea.
  • Jung JH; Department of Surgery, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
  • Jeon JH; Department of Endocrinology, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
  • Lee JH; Department of Radiology, Keimyung University Dongsan Hospital, Daegu, Republic of Korea.
  • Hong H; Department of Radiology, Yongin Severance Hospital, College of Medicine, Yonsei University, Yongin-si, Republic of Korea.
  • Lee EJ; Department of Computational Science and Engineering, Yonsei University, Seoul, Republic of Korea.
  • Kim D; Department of Endocrinology, College of Medicine, Yonsei University, Seoul, Republic of Korea.
  • Kwak JY; Department of Radiology, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Front Endocrinol (Lausanne) ; 15: 1466012, 2024.
Article en En | MEDLINE | ID: mdl-39286268
ABSTRACT
[This corrects the article DOI 10.3389/fendo.2024.1372397.].
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2024 Tipo del documento: Article Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2024 Tipo del documento: Article Pais de publicación: Suiza