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Artificial neural network models to predict nodal status in clinically node-negative breast cancer.
Dihge, Looket; Ohlsson, Mattias; Edén, Patrik; Bendahl, Pär-Ola; Rydén, Lisa.
Afiliação
  • Dihge L; Department of Clinical Sciences Lund, Division of Surgery, Lund University, Lund, Sweden.
  • Ohlsson M; Department of Plastic and Reconstructive Surgery, Skåne University Hospital, Malmö, Sweden.
  • Edén P; Department of Astronomy and Theoretical Physics, Division of Computational Biology and Biological Physics, Lund University, Lund, Sweden.
  • Bendahl PO; Department of Astronomy and Theoretical Physics, Division of Computational Biology and Biological Physics, Lund University, Lund, Sweden.
  • Rydén L; Department of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
BMC Cancer ; 19(1): 610, 2019 Jun 21.
Article em En | MEDLINE | ID: mdl-31226956
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Redes Neurais de Computação / Carcinoma Lobular / Linfonodos / Metástase Linfática Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: BMC Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suécia
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Redes Neurais de Computação / Carcinoma Lobular / Linfonodos / Metástase Linfática Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: BMC Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suécia