Medical imaging diffeomorphic registration based on machine learning
US11449759B2 · kind B2 · utility
1Cited by
2References
17Claims
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Key dates
| Filing date | Dec 27, 2018 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | Nov 29, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
For registration of medical images with deep learning, a neural network is designed to include a diffeomorphic layer in the architecture. The network may be trained using supervised or unsupervised approaches. By enforcing the diffeomorphic characteristic in the architecture of the network, the training of the network and application of the learned network may provide for more regularized and realistic registration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.