Automated fracture detection using machine learning models
US11315242B2 · kind B2 · utility
3Cited by
1References
20Claims
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Key dates
| Filing date | Apr 10, 2019 |
| Grant date | Apr 26, 2022 |
| Priority date | — |
| Expiry date | Sep 24, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for fracture detection are provided. A first image is received to be processed to identify rib fractures. A first set of regions of interest (ROIs) is identified by processing the first image using a first machine learning model, where each ROI in the first set of ROIs corresponds to a first potential fracture. Further, a first ROI of the first set of ROIs is upsampled, and the system attempts to verify the first potential fracture in the first ROI by processing the upsampled first ROI using a second machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.