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Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears.
Eckardt, Jan-Niklas; Middeke, Jan Moritz; Riechert, Sebastian; Schmittmann, Tim; Sulaiman, Anas Shekh; Kramer, Michael; Sockel, Katja; Kroschinsky, Frank; Schuler, Ulrich; Schetelig, Johannes; Röllig, Christoph; Thiede, Christian; Wendt, Karsten; Bornhäuser, Martin.
Afiliación
  • Eckardt JN; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany. jan-niklas.eckardt@uniklinikum-dresden.de.
  • Middeke JM; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Riechert S; Institute of Circuits and Systems, Technical University Dresden, Dresden, Germany.
  • Schmittmann T; Institute of Circuits and Systems, Technical University Dresden, Dresden, Germany.
  • Sulaiman AS; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Kramer M; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Sockel K; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Kroschinsky F; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Schuler U; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Schetelig J; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Röllig C; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Thiede C; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Wendt K; Institute of Circuits and Systems, Technical University Dresden, Dresden, Germany.
  • Bornhäuser M; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
Leukemia ; 36(1): 111-118, 2022 01.
Article en En | MEDLINE | ID: mdl-34497326
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médula Ósea / Leucemia Mieloide Aguda / Biomarcadores de Tumor / Aprendizaje Profundo / Nucleofosmina / Mutación Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Leukemia Asunto de la revista: HEMATOLOGIA / NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médula Ósea / Leucemia Mieloide Aguda / Biomarcadores de Tumor / Aprendizaje Profundo / Nucleofosmina / Mutación Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Leukemia Asunto de la revista: HEMATOLOGIA / NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Alemania