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Automated Prognostic Assessment of Endometrial Hyperplasia for Progression Risk Evaluation Using Artificial Intelligence.
Rewcastle, Emma; Gudlaugsson, Einar; Lillesand, Melinda; Skaland, Ivar; Baak, Jan P A; Janssen, Emiel A M.
Afiliação
  • Rewcastle E; Department of Pathology, Stavanger University Hospital, Stavanger, Norway; Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger, Norway. Electronic address: emma.rewcastle@sus.no.
  • Gudlaugsson E; Department of Pathology, Stavanger University Hospital, Stavanger, Norway.
  • Lillesand M; Department of Pathology, Stavanger University Hospital, Stavanger, Norway; Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger, Norway.
  • Skaland I; Department of Pathology, Stavanger University Hospital, Stavanger, Norway.
  • Baak JPA; Department of Pathology, Stavanger University Hospital, Stavanger, Norway; Dr. Med. Jan Baak AS, Tananger, Norway.
  • Janssen EAM; Department of Pathology, Stavanger University Hospital, Stavanger, Norway; Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger, Norway.
Mod Pathol ; 36(5): 100116, 2023 05.
Article em En | MEDLINE | ID: mdl-36805790
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio / Hiperplasia Endometrial Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio / Hiperplasia Endometrial Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article