Iterative semi-automatic annotation for workload reduction in medical image labeling
US10606982B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Sep 6, 2017 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | Feb 14, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Semi-automatic annotation of medical images is provided. In various embodiments, a classifier is applied to each of a first plurality of medical images to generate a label and an associated confidence value for each of the first plurality of medical images. The classifier is pre-trained using a manually labeled set of medical images. Those of the first plurality of medical images having an associated confidence value below a predetermined threshold are selected. The selected medical images are provided to a user. Updated labels are received from the user for the selected medical images. The classifier is retrained using the first plurality of medical images, with the updated labels for the selected medical images and the generated labels for medical images not selected.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.