Your browser doesn't support javascript.
loading
Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging.
Gross, Moritz; Spektor, Michael; Jaffe, Ariel; Kucukkaya, Ahmet S; Iseke, Simon; Haider, Stefan P; Strazzabosco, Mario; Chapiro, Julius; Onofrey, John A.
  • Gross M; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Spektor M; Charité Center for Diagnostic and Interventional Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Jaffe A; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Kucukkaya AS; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Iseke S; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Haider SP; Charité Center for Diagnostic and Interventional Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Strazzabosco M; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Chapiro J; Department of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.
  • Onofrey JA; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America.
PLoS One ; 16(12): e0260630, 2021.
Article en En | MEDLINE | ID: mdl-34852007

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Neoplasias Hepáticas Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Neoplasias Hepáticas Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article