A Clinically Applicable Approach to the Classification of B-Cell Non-Hodgkin Lymphomas with Flow Cytometry and Machine Learning

A Clinically Applicable Approach to the Classification of B-Cell Non-Hodgkin Lymphomas with Flow Cytometry and Machine Learning

The immunophenotype is a key element to classify B-cell Non-Hodgkin Lymphomas (B-NHL); while it is routinely obtained through immunohistochemistry, the use of flow cytometry (FC) could bear several advantages. However, few FC laboratories can rely on a long-standing practical experience, and the lit...

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Bibliographic Details
Main Authors: Valentina Gaidano, Valerio Tenace, Nathalie Santoro, Silvia Varvello, Alessandro Cignetti, Giuseppina Prato, Giuseppe Saglio, Giovanni De Rosa, Massimo Geuna
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Cancers
Subjects:
lymphoma
non-hodgkin
classification
artificial intelligence
machine learning
flow cytometry
Online Access:https://www.mdpi.com/2072-6694/12/6/1684

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https://www.mdpi.com/2072-6694/12/6/1684

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