Multimodality image processing techniques for training image data generation and usage thereof for developing mono-modality image inferencing models
US11727086B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 10, 2020 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Aug 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described for generating mono-modality training image data from multi-modality image data and using the mono-modality training image data to train and develop mono-modality image inferencing models. A method embodiment comprises generating, by a system comprising a processor, a synthetic 2D image from a 3D image of a first capture modality, wherein the synthetic 2D image corresponds to a 2D version of the 3D image in a second capture modality, and wherein the 3D image and the synthetic 2D image depict a same anatomical region of a same patient. The method further comprises transferring, by the system, ground truth data for the 3D image to the synthetic 2D image. In some embodiments, the method further comprises employing the synthetic 2D image to facilitate transfer of the ground truth data to a native 2D image captured of the same anatomical region of the same patient using the second capture modality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.