Systems and methods for encoding image features of high-resolution digital images of biological specimens
US11176412B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 2, 2017 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Jul 13, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image analysis system for analyzing biological specimen images is disclosed. The system may include: a superpixel generator configured to obtain a biological specimen image and group pixels of the biological specimen image into a plurality of superpixels; a feature extractor configured to extract, from each superpixel in the plurality of superpixels, a feature vector comprising a plurality of image features; a clustering engine configured to assign the plurality of superpixels to a predefined number of clusters, each cluster being characterized by a centroid vector of feature vectors of superpixels assigned to the cluster; and a storage interface configured to store, for each superpixel in the plurality of superpixels, clustering information identifying the one cluster to which the superpixel is assigned. The system may also include a graph engine configured construct a graph based on the stored information, and use the graph to perform a graph-based image processing task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.