System and methods for restorative dentistry treatment planning using adversarial learning
US11311247B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 25, 2020 |
| Grant date | Apr 26, 2022 |
| Priority date | — |
| Expiry date | Aug 5, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Training a generator includes processing a dental image using the generator to obtain a synthetic pathology label, such has a pixel mask indicating portions of the dental image representing caries. The synthetic pathology label is compared to a target pathology label for the dental image and the generator is updated according to the comparison. The synthetic pathology may be evaluated by a discriminator along with a real pathology label to obtain a realism estimate. The discriminator and generator may be updated according to accuracy of the realism estimate. Inputs to the generator may further include tooth labels and/or labels of restorations. Machine learning models may be trained to label restorations and defects in restorations. A machine learning model may be trained to identify the surface of a tooth having a pathology thereon.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.