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Diagnostic Potential of Imaging Flow Cytometry
Minh Doan
,
Ivan Vorobjev
, Paul Rees
, Andrew Filby
, Olaf Wolkenhauer
, Anne E. Goldfeld
, Judy Lieberman
,
Natasha Barteneva
, Anne E. Carpenter
, Holger Hennig
School of Sciences and Humanities
Broad Institute
Lomonosov Moscow State University
Swansea University
Newcastle University
University of Rostock
Stellenbosch Institute for Advanced Study
Harvard University
Research output
:
Contribution to journal
›
Article
›
peer-review
132
Citations (Scopus)
Overview
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INIS
information
100%
applications
100%
capture
100%
images
100%
algorithms
100%
learning
100%
content analysis
100%
Computer Science
Deep Learning
100%
Paradigm Shift
100%
Content Analysis
100%
Multichannel Image
100%
Information Content
100%
Nursing and Health Professions
Diagnosis
100%
Imaging
100%
Flow Cytometry
100%
Clinical Practice
33%
Content Analysis
33%
Keyphrases
Imaging Flow Cytometry
100%
Diagnostic Potential
100%
Clinical Practice
33%
Deep Learning Algorithm
33%
Information Content Analysis
33%
Dual-mode Imaging
33%
Engineering
Deep Learning
100%
Multichannel Image
100%
Information Content
100%
Medicine and Dentistry
Diagnosis
100%
Flow Cytometry
100%
Physics
Deep Learning
100%