Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks

Deep-learning workflows of microscopic image analysis are sufficient for handling the contextual variations because they employ biological samples and have numerous tasks. The use of well-defined annotated images is important for the workflow. Cancer stem cells (CSCs) are identified by specific cell...

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Detalles Bibliográficos
Autores principales: Aida, Saori, Okugawa, Junpei, Fujisaka, Serena, Kasai, Tomonari, Kameda, Hiroyuki, Sugiyama, Tomoyasu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355573/
https://www.ncbi.nlm.nih.gov/pubmed/32575396
http://dx.doi.org/10.3390/biom10060931

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355573/
https://www.ncbi.nlm.nih.gov/pubmed/32575396
http://dx.doi.org/10.3390/biom10060931

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