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

Claim 12:
13. The method of claim 9, wherein before the performing the feature extraction on the each slice in the slice pair to obtain the high-level feature information and the low-level feature information of the each slice, the method further comprises:
acquiring a plurality of slice sample pairs annotated with true values, the slice sample pair comprising two slice samples obtained by sampling a medical image sample;
performing feature extraction on each slice sample in the slice sample pair using a residual network in a preset segmentation model, to obtain high-level feature information and low-level feature information of the each slice sample;
segmenting, for each slice sample in the slice sample pair, a target object in the slice sample using a segmentation network in the preset segmentation model according to the low-level feature information and the high-level feature information of the slice sample, to obtain a predicted segmentation value of the slice sample;
fusing the low-level feature information and the high-level feature information of the slice samples in the slice sample pair using a fusion network in the preset segmentation model, and predicting correlation information between the slice samples in the slice sample pair according to the fused feature information; and
converging the preset segmentation model according to the true values, the predicted segmentation values of the slice samples in the slice sample pair, and the predicted correlation information, to obtain the trained segmentation model.