System and method for domain generalization across variations in medical images
US12154319B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2021 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | Nov 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a method of training a machine-learning-based artificial intelligence (AI) model to handle diverse types of motions occurring during image acquisition, including capturing image data including motion between an imaging device and tissue, modifying the captured image data, resulting in modified image data, by at least one of: altering an amount of time between any two frames; removing a subsequence of frames from the captured image data; and adding a subsequence of one or more new frames to the captured image data, and training a machine-learning-based AI model based on the modified image data. Other systems and methods are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.