Systems and methods for generating normative imaging data for medical image processing using deep learning
US11195277B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 2019 |
| Grant date | Dec 7, 2021 |
| Priority date | — |
| Expiry date | Jan 2, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for generating a normative medical image from an anomalous medical image. In an example, the method includes receiving an anomalous medical image, wherein the anomalous medical image includes anomalous data, mapping the anomalous medical image to a normative medical image using a trained generative network of a generative adversarial network (GAN), wherein the anomalous data of the anomalous medical image is mapped to normative data in the normative medical image. In some examples, the method may further include displaying the normative medical image via a display device, and/or utilizing the normative medical image for further image analysis tasks to generate robust outcomes from the anomalous medical image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.