Detecting and classifying medical images based on continuously-learning whole body landmarks detections
US10949966B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2018 |
| Grant date | Mar 16, 2021 |
| Priority date | — |
| Expiry date | Apr 27, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for automatically generating metadata tags for a medical image includes receiving a medical image and automatically identifying a set of body landmarks in the medical image using one or more machine learning models. A set of rules are applied to the set of body landmarks to identify anatomical objects present in the image. As an alternative to using the set of rules, in some embodiments, one or more machine learning models to the set of body landmarks to identify anatomical objects present in the image. Once the anatomical objects are identified, metadata tags corresponding to the anatomical objects are generated and stored in the medical image. Then, the medical image with the metadata tags is transferred to a data repository.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.