Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms

Multi-parameter flow cytometry (MFC) is a cornerstone in clinical decision making for leukemia and lymphoma. MFC data analysis requires manual gating of cell populations, which is time-consuming, subjective, and often limited to a two-dimensional space. In recent years, deep learning models have bee...

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Detalles Bibliográficos
Autores principales: Mallesh, Nanditha, Zhao, Max, Meintker, Lisa, Höllein, Alexander, Elsner, Franz, Lüling, Hannes, Haferlach, Torsten, Kern, Wolfgang, Westermann, Jörg, Brossart, Peter, Krause, Stefan W., Krawitz, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515009/
https://www.ncbi.nlm.nih.gov/pubmed/34693376
http://dx.doi.org/10.1016/j.patter.2021.100351

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515009/
https://www.ncbi.nlm.nih.gov/pubmed/34693376
http://dx.doi.org/10.1016/j.patter.2021.100351

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