Patent ID: 11967414
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A computing device comprising a memory, a processor, and a plurality of computer programs stored in the memory and executable on the processor to perform a plurality of operations including:
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 and at least one weak-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, comprising at least annotation information of a lesion category and a lesion position in the strong-label training image sample, and the weak-label training image sample representing an image sample having weak-label information comprising only annotation information of a lesion category.