Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears

The evaluation of bone marrow morphology by experienced hematopathologists is essential in the diagnosis of acute myeloid leukemia (AML); however, it suffers from a lack of standardization and inter-observer variability. Deep learning (DL) can process medical image data and provides data-driven clas...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727290/
https://www.ncbi.nlm.nih.gov/pubmed/34497326
http://dx.doi.org/10.1038/s41375-021-01408-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727290/
https://www.ncbi.nlm.nih.gov/pubmed/34497326
http://dx.doi.org/10.1038/s41375-021-01408-w

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