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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Dades bibliogràfiques
Publicat a:Stem Cell Reports
Autors principals: Kusumoto, Dai, Lachmann, Mark, Kunihiro, Takeshi, Yuasa, Shinsuke, Kishino, Yoshikazu, Kimura, Mai, Katsuki, Toshiomi, Itoh, Shogo, Seki, Tomohisa, Fukuda, Keiichi
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2018
Matèries:
Report
Accés en línia: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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