Meta-learning for cardiac MRI segmentation
US12002202B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 9, 2021 |
| Grant date | Jun 4, 2024 |
| Priority date | — |
| Expiry date | Oct 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are described for image segmentation. A machine learning model is applied to a set of images to generate results. The results may be obtained as a probability map for each image in the set of images. The model may be trained by accessing a set of labeled images, each image associated with a label indicating a location of a feature within a respective image. An initial set of parameters is accessed. An encoder is initialized with the initial set of parameters. The encoder is applied to the set of labeled images to generate a prediction of a feature location within each image. The initial set of parameters are updated based on the predictions and the label associated with the labeled images. The updated set of parameters and an additional set of parameters generated using a set of unlabeled images are aggregated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.