Evaluating a mammogram using a plurality of prior mammograms and deep learning algorithms
US11308619B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 17, 2020 |
| Grant date | Apr 19, 2022 |
| Priority date | — |
| Expiry date | Jul 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An approach for training, on a computer, one or more deep learning algorithms with a plurality of mammograms with known outcomes based, at least in part, on using a set of mammograms of each patient in the plurality of mammograms. The approach includes receiving a first set of mammograms of a first patient. The first set of mammograms includes an unevaluated mammogram of the first patient and a set of prior mammograms of the first patient. The approach includes the trained convolutional neural network extracting the set of features from each mammogram of the set of mammograms of the first patient. Furthermore, the approach includes using a second deep learning algorithm of the one or more deep learning algorithms to perform an evaluation of the unevaluated mammogram of the first patient based, at least in part, on the set of prior mammograms of the first patient.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.