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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Detalles Bibliográficos
Autores principales: Kensert, Alexander, Harrison, Philip J., Spjuth, Ola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484664/
https://www.ncbi.nlm.nih.gov/pubmed/30641024
http://dx.doi.org/10.1177/2472555218818756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484664/
https://www.ncbi.nlm.nih.gov/pubmed/30641024
http://dx.doi.org/10.1177/2472555218818756

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