Transfer learning based capsule endoscopic images classification system and method thereof
US11361418B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 5, 2020 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Nov 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a transfer learning based capsule endoscopic images classification system. The system removes the capsule endoscopic images with an average brightness value beyond the preset threshold, and removes the capsule endoscopic images without details based on image brightness standard deviation and image brightness gradient. The system also removes similar images from the capsule endoscopic images using optical flow method, classifies the capsule endoscopic images according to the corresponding anatomical structure, and obtains the classified capsule endoscopic images list arranged in chronological order. The system further determines and labels the position of the first image of each specific anatomical structure in the classified capsule endoscopic images list arranged in chronological order.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.