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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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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8021159/ https://ncbi.nlm.nih.gov/pubmed/33819277 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0249196 |
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