Original paper
De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning
Volume: 156, Issue: 6, Pages: 1092 - 1102
Published: Jun 27, 2021
Abstract
Automated classification of flow cytometry data has the potential to reduce errors and accelerate flow cytometry interpretation. We desired a machine learning approach that is accurate, is intuitively easy to understand, and highlights the cells that are most important in the algorithm's prediction for a given case.We developed an ensemble of convolutional neural networks for classification and visualization of impactful cell populations in...
Paper Details
Title
De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning
Published Date
Jun 27, 2021
Volume
156
Issue
6
Pages
1092 - 1102
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