Training and machine learning classification of mold in digital microscopy images
US10311573B2 · kind B2 · utility
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15Claims
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Key dates
| Filing date | May 2, 2017 |
| Grant date | Jun 4, 2019 |
| Priority date | — |
| Expiry date | May 5, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and devices for classifying or detecting mold samples or training computer models (such as neural networks), are disclosed. A method includes obtaining a microscopy image of a mold sample. The method includes determining a classification of the mold sample based on non-image data corresponding to the mold sample. The method further includes training a computer model based on the microscopy image and a label indicating the classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.