Machine learning dental segmentation methods using sparse voxel representations
US11903793B2 · kind B2 · utility
1Cited by
99References
11Claims
0Family size
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Key dates
| Filing date | Dec 30, 2020 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Dec 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods for automatically segmenting a 3D model of a patient's teeth may include scanning a patient's dentition and converting the scan data into a 3D model, including a sparse voxel representation of the 3D model. Features can be extracted from the sparse voxel representation of the 3D model and input into a machine learning model to train the machine learning model to segment the 3D model into individual dental components.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.