Systems and methods for detection of structures and/or patterns in images
US10706542B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2019 |
| Grant date | Jul 7, 2020 |
| Priority date | — |
| Expiry date | Nov 19, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The subject disclosure presents systems and computer-implemented methods for automatic immune cell detection that is of assistance in clinical immune profile studies. The automatic immune cell detection method involves retrieving a plurality of image channels from a multi-channel image such as an RGB image or biologically meaningful unmixed image. A cell detector is trained to identify the immune cells by a convolutional neural network in one or multiple image channels. Further, the automatic immune cell detection algorithm involves utilizing a non-maximum suppression algorithm to obtain the immune cell coordinates from a probability map of immune cell presence possibility generated from the convolutional neural network classifier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.