Generating high quality training data collections for training artificial intelligence models
US12333716B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 26, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Jul 31, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described for generating high quality training data collections for training artificial intelligence (AI) models in the medical imaging domain. A method embodiment comprises receiving, by a system comprising processor, input indicating a clinical context associated with usage of a medical image dataset, and selecting, by the system, one or more data scrutiny metrics for filtering the medical image dataset based on the clinical context. The method further comprises applying, by the system, one or more image processing functions to the medical image dataset to generate metric values of the one or more data scrutiny metrics for respective medical images included in the medical image dataset, filtering, by the system, the medical image dataset into one or more subsets based on one or more acceptability criteria for the metric values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.