Correcting differences in multi-scanners for digital pathology images using deep learning
US12361550B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 17, 2023 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | Jan 8, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to techniques for transforming digital pathology images obtained by different slide scanners into a common format for image analysis. Particularly, aspects of the present disclosure are directed to obtaining a source image of a biological specimen, the source image is generated from a first type of scanner, inputting into a generator model a randomly generated noise vector and a latent feature vector from the source image as input data, generating, by the generator model, a new image based on the input data, inputting into a discriminator model the new image, generating, by the discriminator model, a probability for the new image being authentic or fake, determining whether the new image is authentic or fake based on the generated probability, and outputting the new image when the image is authentic.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.