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Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes

The quantification and identification of cellular phenotypes from high-content microscopy images has proven to be very useful for understanding biological activity in response to different drug treatments. The traditional approach has been to use classical image analysis to quantify changes in cell...

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Detalhes bibliográficos
Publicado no:SLAS Discov
Main Authors: Kensert, Alexander, Harrison, Philip J., Spjuth, Ola
Formato: Artigo
Idioma:Inglês
Publicado em: SAGE Publications 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6484664/
https://ncbi.nlm.nih.gov/pubmed/30641024
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2472555218818756
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