Hematologist‐Level Classification of Mature B‐Cell Neoplasm Using Deep Learning on Multiparameter Flow Cytometry Data-Reference-Cited by-同舟云学术

Hematologist‐Level Classification of Mature B‐Cell Neoplasm Using Deep Learning on Multiparameter Flow Cytometry Data

Published:2020-06-09 Issue:10 Volume:97 Page:1073-1080
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Zhao Max¹²,Mallesh Nanditha¹,Höllein Alexander³⁴,Schabath Richard³⁵,Haferlach Claudia³,Haferlach Torsten³,Elsner Franz⁶,Lüling Hannes⁶,Krawitz Peter¹^ORCID,Kern Wolfgang³

Affiliation:

1. Institute for Genomic Statistics and Bioinformatics University Bonn Bonn Germany

2. Institute of Human Genetics and Medical Genetics Charité University Hospital Berlin Germany

3. MLL Munich Leukemia Laboratory Munich Germany

4. Red Cross Hospital Munich Munich Germany

5. Onkologische Praxis Berlin Mitte Berlin Germany

6. res mechanica GmbH Munich Germany

Funder

MD Stipend from Berlin Institute of Health

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24159

Reference23 articles.

1. Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data

2. Critical assessment of automated flow cytometry data analysis techniques

3. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

4. Deep Learning in Medical Image Analysis

5. FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data

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