Adversarial and dual inverse deep learning networks for medical image analysis
US10636141B2 · kind B2 · utility
3Cited by
3References
15Claims
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Key dates
| Filing date | Jan 11, 2018 |
| Grant date | Apr 28, 2020 |
| Priority date | — |
| Expiry date | Apr 14, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus for automated medical image analysis using deep learning networks are disclosed. In a method of automatically performing a medical image analysis task on a medical image of a patient, a medical image of a patient is received. The medical image is input to a trained deep neural network. An output model that provides a result of a target medical image analysis task on the input medical image is automatically estimated using the trained deep neural network. The trained deep neural network is trained in one of a discriminative adversarial network or a deep image-to-image dual inverse network.
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