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Employing machine learning and microscopy images of AIB1-stained biopsy material to assess the 5-year survival of patients with colorectal cancer.
Theodosi, Angeliki; Ouzounis, Sotiris; Kostopoulos, Spiros; Glotsos, Dimitris; Kalatzis, Ioannis; Asvestas, Pantelis; Tzelepi, Vassiliki; Ravazoula, Panagiota; Cavouras, Dionisis; Sakellaropoulos, George.
Afiliação
  • Theodosi A; Department of Medical Physics, School of Health Sciences, Faculty of Medicine, University of Patras, Patras, Greece.
  • Ouzounis S; Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece.
  • Kostopoulos S; Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece.
  • Glotsos D; Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece.
  • Kalatzis I; Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece.
  • Asvestas P; Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece.
  • Tzelepi V; Department of Pathology, University Hospital of Patras, Patras, Greece.
  • Ravazoula P; Department of Pathology, University Hospital of Patras, Patras, Greece.
  • Cavouras D; Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece.
  • Sakellaropoulos G; Department of Medical Physics, School of Health Sciences, Faculty of Medicine, University of Patras, Patras, Greece.
Microsc Res Tech ; 84(10): 2421-2433, 2021 Oct.
Article em En | MEDLINE | ID: mdl-33929071
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Microscopia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Microsc Res Tech Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Microscopia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Microsc Res Tech Ano de publicação: 2021 Tipo de documento: Article