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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Vydáno v:Stem Cell Reports
Hlavní autoři: Kusumoto, Dai, Lachmann, Mark, Kunihiro, Takeshi, Yuasa, Shinsuke, Kishino, Yoshikazu, Kimura, Mai, Katsuki, Toshiomi, Itoh, Shogo, Seki, Tomohisa, Fukuda, Keiichi
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2018
Témata:
Report
On-line přístup: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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