Systems and methods for generating clinically relevant images that preserve physical attributes of humans while protecting personal identity
US12154274B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2023 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | Dec 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30104
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is provided a method of generating a dataset of synthetic images, comprising: for each real image each depicting a real human anatomical structure: extracting and preserving a real anatomical structure region(s) from the real image, generating a synthetic image comprising a synthetic human anatomical structure region and the preserved real anatomical structure region(s), designating pairs of images, each including the real image and the synthetic image, feeding the pair into a machine learning model trained to recognize anatomical structure parts to obtain an outcome of a similarity value denoting an amount of similarity between the real image and the synthetic image, verifying that the synthetic image does not depict the real human anatomical structure when the similarity value is below a threshold, wherein an identity of the real human anatomical structure is non-determinable from the synthetic image, and including the verified synthetic image in the dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.