3D segmentation using space carving and 2D convolutional neural networks
US11568656B2 · kind B2 · utility
5Cited by
1References
20Claims
0Family size
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Key dates
| Filing date | Sep 25, 2020 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | Jul 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for generating a 3D segmentation of a target volume is provided. The system accesses views of an X-ray scan of a target volume. The system applies a 2D CNN to each view to generate a 2D multi-channel feature vector for each view. The system applies a space carver to generate a 3D channel volume for each channel based on the 2D multi-channel feature vectors. The system then applies a linear combining technique to the 3D channel volumes to generate a 3D multi-label map that represents a 3D segmentation of the target volume.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.