Cross-domain image analysis and cross-domain image synthesis using deep image-to-image networks and adversarial networks
US10482600B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 16, 2018 |
| Grant date | Nov 19, 2019 |
| Priority date | — |
| Expiry date | May 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus for cross-domain medical image analysis and cross-domain medical image synthesis using deep image-to-image networks and adversarial networks are disclosed. In a method for cross-domain medical image analysis a medical image of a patient from a first domain is received. The medical image is input to a first encoder of a cross-domain deep image-to-image network (DI2IN) that includes the first encoder for the first domain, a second encoder for a second domain, and a decoder. The first encoder converts the medical image to a feature map and the decoder generates an output image that provides a result of a medical image analysis task from the feature map. The first encoder and the second encoder are trained together at least in part based on a similarity of feature maps generated by the first encoder from training images from the first domain and feature maps generated by the second encoder from training images from the second domain, and the decoder is trained to generate output images from feature maps generated by the first encoder or the second encoder.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.