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

Claim 8:
9. The method of claim 1, wherein the performing the feature extraction on the each slice in the slice pair to obtain high-level feature information and low-level feature information of the each slice in the slice pair comprises:
performing the feature extraction on the each slice in the slice pair using a residual network in a trained segmentation model, to obtain the high-level feature information and the low-level feature information of the each slice;
the segmenting the target object in the each slice 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 slice comprises:
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;

the fusing the low-level feature information and the high-level feature information of the slices in the slice pair comprises:
fusing the low-level feature information and the high-level feature information of the slices in the slice pair using a fusion network in the trained segmentation model; and
the determining the correlation information between the slices in the slice pair according to the fused feature information comprises:
determining the correlation information between the slices in the slice pair according to the fused feature information.