Sheneman et al., 2021 - Google Patents
Deep learning classification of lipid droplets in quantitative phase imagesSheneman et al., 2021
View HTML- Document ID
- 13773847646946296057
- Author
- Sheneman L
- Stephanopoulos G
- Vasdekis A
- Publication year
- Publication venue
- PLoS One
External Links
Snippet
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 …
- 150000002632 lipids 0 title abstract description 21
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- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G—PHYSICS
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06N5/02—Knowledge representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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