Systems and methods for simulating medical images using generative adversarial networks
US12259944B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 9, 2021 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | Oct 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One disclosed example method for simulated medical images using GANs includes receiving, by a generative adversarial network (“GAN”), a plurality of training images, the training images associated with an affliction and depicting different stages of progression for the affliction; generating, using the GAN, a latent space based on the training images, the latent space comprising a first set of data points indicating parameters associated with the training images; generating, using the GAN, a second set of data points in the latent space based on simulated images generated from the latent space, the simulated images based at least in part on the first set of data points; after generating the second set of data points: receiving a request for a first simulated image associated with the affliction; and generating and outputting, by the GAN, the first simulated image based on the latent space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.