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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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Bibliografiske detaljer
Udgivet i:Stem Cell Reports
Main Authors: Kusumoto, Dai, Lachmann, Mark, Kunihiro, Takeshi, Yuasa, Shinsuke, Kishino, Yoshikazu, Kimura, Mai, Katsuki, Toshiomi, Itoh, Shogo, Seki, Tomohisa, Fukuda, Keiichi
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2018
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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