Automated labeling of images to train machine learning
US11322256B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2018 |
| Grant date | May 3, 2022 |
| Priority date | — |
| Expiry date | Sep 13, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/284
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer system, and a computer program product for automatic labeling to train a machine learning algorithm is provided. The present invention may include labeling a medical image with at least one finding from a corresponding medical report. The present invention may include determining a localization information from the labeled medical image. The present invention may include training the machine learning algorithm with the determined localization information. The present invention may include detecting at least one candidate in a test medical image. The present invention may include generating a discrepancy list between the at least one detected candidate in the test medical image and at least one human-reported finding in a corresponding test medical report. The present invention may include, in response to determining that the generated discrepancy list is above a threshold, retraining the trained machine learning algorithm until the generated discrepancy list is below the threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.