Inpainting dental images with missing anatomy
US11276151B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 12, 2020 |
| Grant date | Mar 15, 2022 |
| Priority date | — |
| Expiry date | Jun 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30036
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Dental images are processed according to a first machine learning model to determine teeth labels. The teeth labels and image are processed using a second machine learning model to label anatomy. The anatomy labels, teeth labels, and image are processed using a third machine learning model to obtain feature measurements, such as pocket depth and clinical attachment level. The feature measurements, labels, and image may be input to a fourth machine learning model to obtain a diagnosis for a periodontal condition. Machine learning models may further be used to reorient, decontaminate, and restore the image prior to processing. A machine learning model may be trained with images and randomly generated masks in order to perform inpainting of dental images with missing information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.