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Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set
Biomedical applications of deep learning algorithms rely on large expert annotated data sets. The classification of bone marrow (BM) cell cytomorphology, an important cornerstone of hematological diagnosis, is still done manually thousands of times every day because of a lack of data sets and traine...
Autores principales: | Matek, Christian, Krappe, Sebastian, Münzenmayer, Christian, Haferlach, Torsten, Marr, Carsten |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Hematology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602932/ https://www.ncbi.nlm.nih.gov/pubmed/34792573 http://dx.doi.org/10.1182/blood.2020010568 |
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