Classification of severity of pathological condition using hybrid image representation
US10169872B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 7, 2017 |
| Grant date | Jan 1, 2019 |
| Priority date | — |
| Expiry date | Feb 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30041
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method obtains at least one image from which severity of a given pathological condition presented in the at least one image is to be classified. The method generates a hybrid image representation of the at least one obtained image. The hybrid image representation comprises a concatenation of a discriminative pathology histogram, a generative pathology histogram, and a fully connected representation of a trained baseline convolutional neural network. The hybrid image representation is used to train a classifier to classify the severity of the given pathological condition presented in the at least one image. One non-limiting example of a pathological condition whose severity can be classified with the above method is diabetic retinopathy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.