Gating machine learning predictions on medical ultrasound images via risk and uncertainty quantification
US11532084B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 3, 2020 |
| Grant date | Dec 20, 2022 |
| Priority date | — |
| Expiry date | May 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A facility for processing a medical imaging image is described. The facility applies each of a number of constituent models making up an ensemble machine learning models to the image to produce a constituent model result that predicts a value for each pixel of the image. The facility aggregates the results produced by the constituent models of the plurality to determine a result of the ensemble machine learning model. For each of the pixels of the accessed image, the facility determines a measure of variation among the values predicted for the pixel among the constituent models. Facility determines a confidence measure for the ensemble machine learning model result based at least in part on for how many of the pixels of the accessed image a variation measure is determined that exceeds a variation threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.