Biological image transformation using machine-learning models
US11423256B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 20, 2021 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Sep 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described are systems and methods for training a machine-learning model to generate image of biological samples, and systems and methods for generating enhanced images of biological samples. The method for training a machine-learning model to generate images of biological samples may include obtaining a plurality of training images comprising a training image of a first type, and a training image of a second type. The method may also include generating, based on the training image of the first type, a plurality of wavelet coefficients using the machine-learning model; generating, based on the plurality of wavelet coefficients, a synthetic image of the second type; comparing the synthetic image of the second type with the training image of the second type; and updating the machine-learning model based on the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.