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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma.
Abajian, Aaron; Murali, Nikitha; Savic, Lynn Jeanette; Laage-Gaupp, Fabian Max; Nezami, Nariman; Duncan, James S; Schlachter, Todd; Lin, MingDe; Geschwind, Jean-François; Chapiro, Julius.
Afiliação
  • Abajian A; Department of Radiology and Biomedical Imaging, Yale School of Medicine
  • Murali N; Department of Radiology and Biomedical Imaging, Yale School of Medicine.
  • Savic LJ; Department of Radiology and Biomedical Imaging, Yale School of Medicine; Department of Diagnostic and Interventional Radiology, Universitätsmedizin Charité Berlin.
  • Laage-Gaupp FM; Department of Radiology and Biomedical Imaging, Yale School of Medicine.
  • Nezami N; Department of Radiology and Biomedical Imaging, Yale School of Medicine.
  • Duncan JS; Department of Biomedical Engineering, Yale School of Engineering and Applied Science.
  • Schlachter T; Department of Radiology and Biomedical Imaging, Yale School of Medicine.
  • Lin M; Philips Research North America.
  • Geschwind JF; Prescience Labs.
  • Chapiro J; Department of Radiology and Biomedical Imaging, Yale School of Medicine; julius.chapiro@yale.edu
J Vis Exp ; (140)2018 10 10.
Article em En | MEDLINE | ID: mdl-30371657

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Carcinoma Hepatocelular / Cirurgia Assistida por Computador / Aprendizado de Máquina / Injeções Intra-Arteriais / Neoplasias Hepáticas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans / Male / Middle aged Idioma: En Revista: J Vis Exp Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Carcinoma Hepatocelular / Cirurgia Assistida por Computador / Aprendizado de Máquina / Injeções Intra-Arteriais / Neoplasias Hepáticas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans / Male / Middle aged Idioma: En Revista: J Vis Exp Ano de publicação: 2018 Tipo de documento: Article