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Prediction of Immunohistochemistry of Suspected Thyroid Nodules by Use of Machine Learning-Based Radiomics.
Gu, Jiabing; Zhu, Jian; Qiu, Qingtao; Wang, Yungang; Bai, Tong; Yin, Yong.
Afiliación
  • Gu J; School of Medicine and Life Sciences, University of Jinan Shandong Academy of Medical Sciences, Jinan, Shandong, China.
  • Zhu J; Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China.
  • Qiu Q; Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China.
  • Wang Y; Shandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Bai T; Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China.
  • Yin Y; Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China.
AJR Am J Roentgenol ; 213(6): 1348-1357, 2019 12.
Article en En | MEDLINE | ID: mdl-31461321
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inmunohistoquímica / Tomografía Computarizada por Rayos X / Nódulo Tiroideo / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: AJR Am J Roentgenol Año: 2019 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inmunohistoquímica / Tomografía Computarizada por Rayos X / Nódulo Tiroideo / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: AJR Am J Roentgenol Año: 2019 Tipo del documento: Article País de afiliación: China