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Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells
Deep learning technology is rapidly advancing and is now used to solve complex problems. Here, we used deep learning in convolutional neural networks to establish an automated method to identify endothelial cells derived from induced pluripotent stem cells (iPSCs), without the need for immunostainin...
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| Udgivet i: | Stem Cell Reports |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5989816/ https://ncbi.nlm.nih.gov/pubmed/29754958 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.stemcr.2018.04.007 |
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