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BioEssays 6∕2019
Author(s) -
González Germán,
Evans Conor L.
Publication year - 2019
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.201970023
Subject(s) - pipeline (software) , computer science , cloud computing , virtualization , artificial intelligence , image processing , deep learning , big data , cluster analysis , interface (matter) , data science , image (mathematics) , data mining , operating system , bubble , maximum bubble pressure method
Deep learning, data management, automated processing, virtualisation, clustering and cloud computing should be part of the lexicon of biomedical researchers. In article number 1900004, Germán González and Conor L. Evans show that these techniques can be used to turn large amounts of data into actionable insights. The authors apply them to generate an automated image analysis pipeline that performs cell detection, cell analysis, offers a quality control interface and fi nally aggregates the data to draw conclusions, Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline DOI: 10.1002/bies.201900004 .