Automatic detection of vertebral dislocations
US11145060B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 20, 2020 |
| Grant date | Oct 12, 2021 |
| Priority date | — |
| Expiry date | Jul 20, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30012
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
In an approach to automatic detection of vertebral dislocations, training data is received, where the training data includes an ordered sequence of radiographic image patches of vertebrae and intervertebral spaces, and location data for each vertebra and each intervertebral space. Location deep learning models are trained to detect a location of each vertebra and each intervertebral space from the training data. Classification deep learning models are trained to classify an ordered sequence of image patches to identify vertebral anomalies of the vertebrae and the intervertebral spaces from the training data. Responsive to receiving radiographic image files, the location deep learning models and the classification deep learning models are applied to the radiographic image files to create a condition assessment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.