Optimized data collection of relevant medical images
US11380433B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2020 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Nov 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments of the present invention select image data that are valuable for developing and/or training a deep learning based algorithm. A semi-automated system identifies cases that are the most valuable (most impactful, useful, and/or most effective) for developing and/or training the deep learning algorithm. The semi-automated system monitors a degree of uncertainty in the results produced by an image processing algorithm. Cases where the degree of uncertainty is high, and consequently a confidence score is low, are made ready for analysis, classification, and/or annotation by human review. Once analyzed, classified and/or annotated by human review, the data is made available for use in developing and/or training the deep learning algorithm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.