Patent ID: 11908580
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The method according to claim 1, further comprising:
obtaining medical image samples of different image types and a corresponding reference category;
generating a training texture image based on data of a region of interest in the medical image samples;
extracting a feature of the training texture image using the first network model, to obtain a local training medical feature;
extracting features of the medical image samples using the second network model, to obtain a global training medical feature;
fusing the global training medical feature and the local training medical feature by using the fully connected layer;
performing image classification based on a fused feature obtained after the fusion to obtain a classification result; and
respectively adjusting parameter values of the first network model, the second network model, and the fully connected layer based on an error between the classification result and the reference category.