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Deep learning classification of lipid droplets in quantitative phase images

We report the application of supervised machine learning to the automated classification of lipid droplets in label-free, quantitative-phase images. By comparing various machine learning methods commonly used in biomedical imaging and remote sensing, we found convolutional neural networks to outperf...

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Detalles Bibliográficos
Autores principales: Sheneman, Luke, Stephanopoulos, Gregory, Vasdekis, Andreas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021159/
https://www.ncbi.nlm.nih.gov/pubmed/33819277
http://dx.doi.org/10.1371/journal.pone.0249196

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