System and method for generating training images
US12293569B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2020 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Jan 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates to training data sets and a system and method for generating training images especially those which are medical images. Especially disclosed is a method of training a machine learning model to recognize movement of a body part in an acquired medical image The machine learning model is trained by varying/modifying a blur convolution kernel constructed with pixels oriented in a direction of the movement; the method including determining at least one motion weighting factor corresponding to a motion time period when the body part is moving during acquisition of the medical image, and using the motion weighting factor to vary/modify the blur convolution kernel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.