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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...
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |