Dental image synthesis using generative adversarial networks with semantic activation blocks
US11367188B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 25, 2020 |
| Grant date | Jun 21, 2022 |
| Priority date | — |
| Expiry date | Sep 25, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A GAN is trained to process input images and produce a synthetic dental image. The GAN further takes masks as inputs with each image, the masks labeling pixels of the image corresponding to dental features (anatomy and/or treatments). The GAN includes an encoder-decoder with normalization between stages of the decoder according to the masks. A synthetic image and an unpaired dental image is evaluated by a first discriminator of the GAN to obtain a realism estimate. The synthetic image and an unpaired dental image may be processed using a pretrained dental encoder to obtain a perceptual loss. The GAN is trained with the realism estimate and perceptual loss. Utilization may include modifying a mask for an input image to include or exclude a shape of a feature such that the synthetic image includes or excludes a dental feature.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.