Ontology highlight
ABSTRACT:
SUBMITTER: Sheneman L
PROVIDER: S-EPMC8021159 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Sheneman Luke L Stephanopoulos Gregory G Vasdekis Andreas E AE
PloS one 20210405 4
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 outperform others, both quantitatively and qualitatively. We describe our imaging approach, all implemented machine learning methods, and their performance with respect to computational efficiency, required ...[more]