Patent ID: 11887311
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. The method of claim 9, wherein the segmenting the target object in the each slice using a segmentation network in the trained segmentation model according to the low-level feature information and the high-level feature information of the each slice to obtain the initial segmentation result of the each slice comprises:
performing convolution separately on the low-level feature information and the high-level feature information of the each slice in the slice pair using the segmentation network in the trained segmentation model;
upsampling the high-level feature information obtained after convolution to have a same size as the low-level feature information obtained after convolution;
concatenating the upsampled high-level feature information and the low-level feature information obtained after convolution, to obtain concatenated feature information; and
selecting a pixel belonging to the target object in the each slice according to the concatenated feature information, to obtain the initial segmentation result of the each slice.