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Weakly Supervised Learning of Single-Cell Feature Embeddings
We study the problem of learning representations for single cells in microscopy images to discover biological relationships between their experimental conditions. Many new applications in drug discovery and functional genomics require capturing the morphology of individual cells as comprehensively a...
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| Vydáno v: | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6432648/ https://ncbi.nlm.nih.gov/pubmed/30918435 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2018.00970 |
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