AI platform for pixel spacing, distance, and volumetric predictions from dental images
US11189028B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 14, 2021 |
| Grant date | Nov 30, 2021 |
| Priority date | — |
| Expiry date | Apr 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning model is trained to predict pixel spacing, distance, and volumetric measurements. Training images are obtained by inpainting around an original image and scaling the inpainted image to obtain the training image having a different pixel spacing than the original image. The machine learning model may include an encoder, a transformer, a first TC layer, and a second TC layer. During training, loss may be obtained from a comparison of the output to the first TC layer to a coarse pixel spacing matrix and a comparison of the output of the second TC layer to a fine pixel spacing matrix. During utilization, the pixel spacing of an image may be obtained using the machine learning model and used to correct the image or measurements obtained from the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.