Robust segmentation through high-level image understanding
US11636593B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 6, 2020 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Jul 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A facility identifies anatomical objects visualized by a medical imaging image. The facility applies two machine learning models to the image: a first trained to predict a view probability vector that, for each of a list of views, attributes a probability that the image was captured from the view, and a second trained to predict an object probability vector that, for each of a list of anatomical objects, attributes a probability that the object is visualized by the image. For each object, the facility: (1) accesses a list of views in which the object is permitted; (2) multiplies the predicted probability that the object is visualized by the image by the sum of the predicted probabilities that the accessed image was captured from views in which the object is permitted; and (3) where the resulting probability exceeds a threshold, determines that the object is visualized by the accessed image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.