Systems and methods for automatic detection of an indication of abnormality in an anatomical image
US10878569B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 28, 2018 |
| Grant date | Dec 29, 2020 |
| Priority date | — |
| Expiry date | Mar 16, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is provided a method for training a deep convolutional neural network (CNN) for detecting an indication of likelihood of abnormality, comprising: receiving anatomical training images, each including an associated annotation indicative of abnormality for the whole image without an indication of location of the abnormality, executing, for each anatomical training image: decomposing the anatomical training image into patches, computing a feature representation of each patch, computing for each patch, according to the feature representation of the patch, a probability that the patch includes an indication of abnormality, setting a probability indicative of likelihood of abnormality in the anatomical image according to the maximal probability value computed for one patch, and training a deep CNN for detecting an indication of likelihood of abnormality in a target anatomical image according to the patches of the anatomical training images, the one patch, and the probability set for each respective anatomical training image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.