Your browser doesn't support javascript.
loading
Predicting Prostate Cancer Molecular Subtype With Deep Learning on Histopathologic Images.
Erak, Eric; Oliveira, Lia DePaula; Mendes, Adrianna A; Dairo, Oluwademilade; Ertunc, Onur; Kulac, Ibrahim; Baena-Del Valle, Javier A; Jones, Tracy; Hicks, Jessica L; Glavaris, Stephanie; Guner, Gunes; Vidal, Igor Damasceno; Markowski, Mark; de la Calle, Claire; Trock, Bruce J; Meena, Avaneesh; Joshi, Uttara; Kondragunta, Chaith; Bonthu, Saikiran; Singhal, Nitin; De Marzo, Angelo M; Lotan, Tamara L.
Afiliación
  • Erak E; Department of Pathology, Johns Hopkins University School of Medicine.
  • Oliveira LD; Department of Pathology, Johns Hopkins University School of Medicine.
  • Mendes AA; Department of Pathology, Johns Hopkins University School of Medicine.
  • Dairo O; Department of Pathology, Johns Hopkins University School of Medicine.
  • Ertunc O; Department of Pathology, Suleyman Demirel University, Turkey.
  • Kulac I; Koç University School of Medicine, Turkey.
  • Baena-Del Valle JA; Fundacion Santa Fe de Bogota University Hospital, Columbia.
  • Jones T; Department of Pathology, Johns Hopkins University School of Medicine.
  • Hicks JL; Department of Pathology, Johns Hopkins University School of Medicine.
  • Glavaris S; Department of Pathology, Johns Hopkins University School of Medicine.
  • Guner G; Hacettepe University, Turkey.
  • Vidal ID; Department of Pathology, University of Alabama School of Medicine, Alabama.
  • Markowski M; Department of Oncology, Johns Hopkins University School of Medicine.
  • de la Calle C; Department of Urology, Johns Hopkins University School of Medicine.
  • Trock BJ; Department of Urology, Johns Hopkins University School of Medicine.
  • Meena A; AIRA Matrix Private Limited, India.
  • Joshi U; AIRA Matrix Private Limited, India.
  • Kondragunta C; AIRA Matrix Private Limited, India.
  • Bonthu S; AIRA Matrix Private Limited, India.
  • Singhal N; AIRA Matrix Private Limited, India.
  • De Marzo AM; Department of Pathology, Johns Hopkins University School of Medicine; Department of Oncology, Johns Hopkins University School of Medicine; Department of Urology, Johns Hopkins University School of Medicine.
  • Lotan TL; Department of Pathology, Johns Hopkins University School of Medicine; Department of Oncology, Johns Hopkins University School of Medicine; Department of Urology, Johns Hopkins University School of Medicine. Electronic address: tlotan1@jhmi.edu.
Mod Pathol ; 36(10): 100247, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37307876
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mod Pathol Asunto de la revista: PATOLOGIA Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mod Pathol Asunto de la revista: PATOLOGIA Año: 2023 Tipo del documento: Article