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Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.
El Agouri, H; Azizi, M; El Attar, H; El Khannoussi, M; Ibrahimi, A; Kabbaj, R; Kadiri, H; BekarSabein, S; EchCharif, S; Mounjid, C; El Khannoussi, B.
Afiliação
  • El Agouri H; Pathology Department, Oncology National Institute, Faculty of Medicine and Pharmacy, Mohammed V University, 10100, Rabat, Morocco. hajar.elagouri@gmail.com.
  • Azizi M; Datapathology, 20000, Casablanca, Morocco.
  • El Attar H; Anatomic Pathology Laboratory Ennassr, 24000, El Jadida, Morocco.
  • El Khannoussi M; Datapathology, 20000, Casablanca, Morocco.
  • Ibrahimi A; Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University in Rabat, 10100, Rabat, Morocco.
  • Kabbaj R; Pathology Department, Oncology National Institute, Faculty of Medicine and Pharmacy, Mohammed V University, 10100, Rabat, Morocco.
  • Kadiri H; Pathology Department, Oncology National Institute, Faculty of Medicine and Pharmacy, Mohammed V University, 10100, Rabat, Morocco.
  • BekarSabein S; Pathology Department, Oncology National Institute, Faculty of Medicine and Pharmacy, Mohammed V University, 10100, Rabat, Morocco.
  • EchCharif S; Pathology Department, Oncology National Institute, Faculty of Medicine and Pharmacy, Mohammed V University, 10100, Rabat, Morocco.
  • Mounjid C; Pathology Department, Oncology National Institute, Faculty of Sciences, Mohammed V University, 10100, Rabat, Morocco.
  • El Khannoussi B; Pathology Department, Oncology National Institute, Faculty of Medicine and Pharmacy, Mohammed V University, 10100, Rabat, Morocco.
BMC Res Notes ; 15(1): 66, 2022 Feb 19.
Article em En | MEDLINE | ID: mdl-35183227
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article