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Exploring dyserythropoiesis in patients with myelodysplastic syndrome by imaging flow cytometry and machine-learning assisted morphometrics.
Rosenberg, Carina A; Bill, Marie; Rodrigues, Matthew A; Hauerslev, Mathias; Kerndrup, Gitte B; Hokland, Peter; Ludvigsen, Maja.
Afiliación
  • Rosenberg CA; Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.
  • Bill M; Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.
  • Rodrigues MA; Amnis Flow Cytometry, Luminex Corporation, Seattle, Washington, USA.
  • Hauerslev M; Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.
  • Kerndrup GB; Department of Pathology, Aarhus University Hospital, Aarhus, Denmark.
  • Hokland P; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Ludvigsen M; Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Cytometry B Clin Cytom ; 100(5): 554-567, 2021 09.
Article en En | MEDLINE | ID: mdl-33285035
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Síndromes Mielodisplásicos / Eritroblastos / Eritropoyesis / Citometría de Flujo / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Cytometry B Clin Cytom Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Síndromes Mielodisplásicos / Eritroblastos / Eritropoyesis / Citometría de Flujo / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Cytometry B Clin Cytom Año: 2021 Tipo del documento: Article