Method and apparatus for low-dose X-ray computed tomography image processing based on efficient unsupervised learning using invertible neural network
US12346997B2 · kind B2 · utility
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Key dates
| Filing date | Jun 24, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | May 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/444
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are a method and apparatus for processing a low-dose X-ray computed tomography image based on efficient unsupervised learning by using an invertible neural network. The method of processing a low-dose X-ray computed tomography image based on unsupervised learning by using an invertible neural network performed by a computer device includes providing an invertible generator for restoring an image, and training the invertible generator to restore a low-dose computed tomography image to a normal computed tomography image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.