A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies

We present deep learning-based approaches for exploring the complex array of morphologies exhibited by the opportunistic human pathogen Candida albicans. Our system, entitled Candescence, automatically detects C. albicans cells from differential image contrast microscopy and labels each detected cel...

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Detalles Bibliográficos
Autores principales: Bettauer, Van, Costa, Anna Carolina Borges Pereira, Omran, Raha Parvizi, Massahi, Samira, Kirbizakis, Eftyhios, Simpson, Shawn, Dumeaux, Vanessa, Law, Chris, Whiteway, Malcolm, Hallett, Michael T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604015/
https://www.ncbi.nlm.nih.gov/pubmed/35972285
http://dx.doi.org/10.1128/spectrum.01472-22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604015/
https://www.ncbi.nlm.nih.gov/pubmed/35972285
http://dx.doi.org/10.1128/spectrum.01472-22

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