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Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning.
de Bel, Thomas; Litjens, Geert; Ogony, Joshua; Stallings-Mann, Melody; Carter, Jodi M; Hilton, Tracy; Radisky, Derek C; Vierkant, Robert A; Broderick, Brendan; Hoskin, Tanya L; Winham, Stacey J; Frost, Marlene H; Visscher, Daniel W; Allers, Teresa; Degnim, Amy C; Sherman, Mark E; van der Laak, Jeroen A W M.
Afiliação
  • de Bel T; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands. thomas.debel@radboudumc.nl.
  • Litjens G; Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands. thomas.debel@radboudumc.nl.
  • Ogony J; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Stallings-Mann M; Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
  • Carter JM; Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Hilton T; Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
  • Radisky DC; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • Vierkant RA; Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Broderick B; Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
  • Hoskin TL; Health Sciences Research, Rochester, MN, USA.
  • Winham SJ; Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Frost MH; Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Visscher DW; Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Allers T; Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
  • Degnim AC; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • Sherman ME; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • van der Laak JAWM; Department of Surgery, Mayo Clinic, Rochester, MN, USA.
NPJ Breast Cancer ; 8(1): 13, 2022 Jan 19.
Article em En | MEDLINE | ID: mdl-35046392

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article