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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Detalles Bibliográficos
Autores principales: Kusumoto, Dai, Lachmann, Mark, Kunihiro, Takeshi, Yuasa, Shinsuke, Kishino, Yoshikazu, Kimura, Mai, Katsuki, Toshiomi, Itoh, Shogo, Seki, Tomohisa, Fukuda, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989816/
https://www.ncbi.nlm.nih.gov/pubmed/29754958
http://dx.doi.org/10.1016/j.stemcr.2018.04.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989816/
https://www.ncbi.nlm.nih.gov/pubmed/29754958
http://dx.doi.org/10.1016/j.stemcr.2018.04.007

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