Deep image classification of medical images
US10892050B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 13, 2018 |
| Grant date | Jan 12, 2021 |
| Priority date | — |
| Expiry date | Oct 6, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and storage components for utilizing a deep neural network(s) for classifying at least one medical image. A deep neural network (DNN) can be configured by an image processing component to contain at least one revived neuron, where the revived neuron has an adjusted value based on a focus-learning function that is transferred to the DNN by the image processing component, where the focus-learning function provides the adjustment by updating the DNN with data that contains a corrected classification with respect to at least one normal image sample derived from a medical image, and where the correction is based on the focus-learning function comparing an annotation associated with an abnormal image sample derived from the medical image to another annotation associated with the at least one normal image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.