Feature detection based on neural networks
US12272046B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 21, 2020 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Jun 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30164
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A plurality of different images of a same region of interest in an object are input into a set of neural networks, wherein each image of the region has been captured under a different value of a variable condition. A classification for each image is generated by the set of neural networks, wherein each classification includes a confidence score in a prediction of whether a feature is present in the region. The image classifications are ensembled to generate a final classification for the region. By applying a loss function, a loss is computed based on comparing the final classification to a ground truth of whether the feature is present in the region. The parameters of the set of neural networks are adjusted based on the computed loss.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.