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Deep Learning Methodologies Applied to Digital Pathology in Prostate Cancer: A Systematic Review.
Rabilloud, Noémie; Allaume, Pierre; Acosta, Oscar; De Crevoisier, Renaud; Bourgade, Raphael; Loussouarn, Delphine; Rioux-Leclercq, Nathalie; Khene, Zine-Eddine; Mathieu, Romain; Bensalah, Karim; Pecot, Thierry; Kammerer-Jacquet, Solene-Florence.
Afiliação
  • Rabilloud N; Impact TEAM, Laboratoire Traitement du Signal et de l'Image (LTSI) INSERM, Rennes University, 35033 Rennes, France.
  • Allaume P; Department of Pathology, Rennes University Hospital, 2 rue Henri Le Guilloux, CEDEX 09, 35033 Rennes, France.
  • Acosta O; Impact TEAM, Laboratoire Traitement du Signal et de l'Image (LTSI) INSERM, Rennes University, 35033 Rennes, France.
  • De Crevoisier R; Impact TEAM, Laboratoire Traitement du Signal et de l'Image (LTSI) INSERM, Rennes University, 35033 Rennes, France.
  • Bourgade R; Department of Radiotherapy, Centre Eugène Marquis, 35033 Rennes, France.
  • Loussouarn D; Department of Pathology, Nantes University Hospital, 44000 Nantes, France.
  • Rioux-Leclercq N; Department of Pathology, Nantes University Hospital, 44000 Nantes, France.
  • Khene ZE; Department of Pathology, Rennes University Hospital, 2 rue Henri Le Guilloux, CEDEX 09, 35033 Rennes, France.
  • Mathieu R; Impact TEAM, Laboratoire Traitement du Signal et de l'Image (LTSI) INSERM, Rennes University, 35033 Rennes, France.
  • Bensalah K; Department of Urology, Rennes University Hospital, 2 rue Henri Le Guilloux, CEDEX 09, 35033 Rennes, France.
  • Pecot T; Department of Urology, Rennes University Hospital, 2 rue Henri Le Guilloux, CEDEX 09, 35033 Rennes, France.
  • Kammerer-Jacquet SF; Department of Urology, Rennes University Hospital, 2 rue Henri Le Guilloux, CEDEX 09, 35033 Rennes, France.
Diagnostics (Basel) ; 13(16)2023 Aug 14.
Article em En | MEDLINE | ID: mdl-37627935
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article