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Machine Learning-Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma.
Sim, Ki Choon; Han, Na Yeon; Cho, Yongwon; Sung, Deuk Jae; Park, Beom Jin; Kim, Min Ju; Han, Yeo Eun.
Afiliação
  • Sim KC; From the Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine.
  • Han NY; From the Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine.
  • Cho Y; Department of Radiology and AI Center, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
  • Sung DJ; From the Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine.
  • Park BJ; From the Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine.
  • Kim MJ; From the Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine.
  • Han YE; From the Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine.
J Comput Assist Tomogr ; 47(6): 873-881, 2023.
Article em En | MEDLINE | ID: mdl-37948361
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Neoplasias Renais Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Neoplasias Renais Idioma: En Ano de publicação: 2023 Tipo de documento: Article