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Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases.
Vorontsov, Eugene; Cerny, Milena; Régnier, Philippe; Di Jorio, Lisa; Pal, Christopher J; Lapointe, Réal; Vandenbroucke-Menu, Franck; Turcotte, Simon; Kadoury, Samuel; Tang, An.
Afiliación
  • Vorontsov E; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Cerny M; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Régnier P; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Di Jorio L; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Pal CJ; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Lapointe R; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Vandenbroucke-Menu F; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Turcotte S; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Kadoury S; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
  • Tang A; Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA),
Radiol Artif Intell ; 1(2): 180014, 2019 Mar.
Article en En | MEDLINE | ID: mdl-33937787

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Observational_studies / Risk_factors_studies Idioma: En Revista: Radiol Artif Intell Año: 2019 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Observational_studies / Risk_factors_studies Idioma: En Revista: Radiol Artif Intell Año: 2019 Tipo del documento: Article