Statistical distortion of supervised learning predictions in optical microscopy induced by image compression

The growth of data throughput in optical microscopy has triggered the extensive use of supervised learning (SL) models on compressed datasets for automated analysis. Investigating the effects of image compression on SL predictions is therefore pivotal to assess their reliability, especially for clin...

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Detalles Bibliográficos
Autores principales: Pomarico, Enrico, Schmidt, Cédric, Chays, Florian, Nguyen, David, Planchette, Arielle, Tissot, Audrey, Roux, Adrien, Pagès, Stéphane, Batti, Laura, Clausen, Christoph, Lasser, Theo, Radenovic, Aleksandra, Sanguinetti, Bruno, Extermann, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891276/
https://www.ncbi.nlm.nih.gov/pubmed/35236913
http://dx.doi.org/10.1038/s41598-022-07445-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891276/
https://www.ncbi.nlm.nih.gov/pubmed/35236913
http://dx.doi.org/10.1038/s41598-022-07445-4

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