Image recognition model training method and apparatus, and image recognition method, apparatus, and system
US11967414B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 14, 2021 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Sep 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This application relates to an image recognition model training method, an image recognition method, apparatus, and system. The method includes: obtaining a to-be-recognized image; extracting image feature information of the to-be-recognized image; and obtaining a lesion category recognition result of the to-be-recognized image by using the image feature information of the to-be-recognized image as an input parameter of a preset image recognition model, the image recognition model being trained by using a training image sample set comprising at least one strong-label training image sample, to determine the lesion category recognition result; and the strong-label training image sample representing an image sample having strong-label information, and the strong-label information comprising at least annotation information of a lesion category and a lesion position in the strong-label training image sample. According to the lesion position, image feature information of a specific lesion category may be more accurately positioned, thereby improving reliability and accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.