Training set enrichment with insignificantly-abnormal medical images
US11301720B2 · kind B2 · utility
1Cited by
2References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2020 |
| Grant date | Apr 12, 2022 |
| Priority date | — |
| Expiry date | May 21, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method including: automatically detecting, using at least one machine learning algorithm, one or more abnormalities depicted in a medical image of a patient; automatically determining whether the one or more abnormalities have remained temporally and unchanged, based on an older medical image of the patient; and upon determining that the one or more abnormalities have remained temporally and spatially unchanged: automatically inpainting the one or more abnormalities in the medical image, and automatically enrich a new training set with the inpainted medical image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.