Systems and methods for processing electronic images to determine testing for unstained specimens
US11481899B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 10, 2021 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | Dec 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method may include receiving a collection of unstained digital histopathology slide images at a storage device and running a trained machine learning model on one or more slide images of the collection to infer a presence or an absence of a salient feature. The trained machine learning model may have been trained by processing a second collection of unstained or stained digital histopathology slide images and at least one synoptic annotation for one or more unstained or stained digital histopathology slide images of the second collection. The computer-implemented method may further include determining at least one map from output of the trained machine learning model and providing an output from the trained machine learning model to the storage device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.