Patent ID: 11954863
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. The method according to claim 12, wherein extracting localization features of the general tumor region using the decoder network and performing feature fusion of the context features and the localization features to obtain the feature map comprises:
performing upsampling on localization features corresponding to a deepest upsampling layer in the decoder network, to obtain to-be-fused features, wherein the localization features corresponding to the deepest upsampling layer are context features corresponding to a deepest downsampling layer in the encoder network;
inputting the to-be-fused features to a second deepest upsampling layer, combining the to-be-fused features with context features corresponding to a second deepest downsampling layer, and obtaining localization features corresponding to the second deepest upsampling layer by performing deconvolution;
traversing the other upsampling layers in descending order of depth, to obtain localization features corresponding to the traversed upsampling layers; and
obtaining the feature map according to localization features corresponding to a shallowest upsampling layer after the traversal is performed.