Method for detecting image of object using convolutional neural network
US11580637B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 27, 2020 |
| Grant date | Feb 14, 2023 |
| Priority date | — |
| Expiry date | May 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present application related to a method for detecting an object image using a convolutional neural network. Firstly, obtaining feature images by Convolution kernel, and then positioning an image of an object under detected by a default box and a boundary box from the feature image. By Comparing with the sample image, the detected object image is classifying to an esophageal cancer image or a non-esophageal cancer image. Thus, detecting an input image from the image capturing device by the convolutional neural network to judge if the input image is the esophageal cancer image for helping the doctor to interpret the detected object image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.