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Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting
Cellular microscopy images contain rich insights about biology. To extract this information, researchers use features, or measurements of the patterns of interest in the images. Here, we introduce a convolutional neural network (CNN) to automatically design features for fluorescence microscopy. We u...
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| Yayımlandı: | PLoS Comput Biol |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6743779/ https://ncbi.nlm.nih.gov/pubmed/31479439 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007348 |
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