Fracture detection method, electronic device and storage medium
US10937143B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2019 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Nov 22, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A fracture detection method executed by an electronic device is provided. The fracture detection method includes obtaining a to-be-detected image; using a Fully Convolutional Networks (FCN) model to process the to-be-detected image to obtain a fracture probability map of the to-be-detected image; performing a maximum pooling process on the fracture probability map to obtain a first fracture probability; extracting Regions of Interests (ROIs) of the to-be-detected image based on the FCN model; inputting the ROIs into a classification model to obtain a second fracture probability; calculating a product of the first fracture probability and the second fracture probability as a probability of a fracture phenomenon in the to-be-detected image. The present disclosure combines the FCN model and the ROIs to realize an automatic fracture detection, and the accuracy is higher. A device employing the method is also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.