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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...
Gorde:
| Argitaratua izan da: | SLAS Discov |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
SAGE Publications
2019
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| Gaiak: | |
| Sarrera elektronikoa: | 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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