Patent ID: 11941807
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. The medical image processing method according to claim 8, wherein the segmentation neural network comprises M processing layers, and the training the segmentation neural network and the encoding neural network according to a Deiss loss function and a cross-entropy loss function further comprises:
calculating an intermediate Deiss loss value according to the Deiss loss function based on the real segmentation label and a segmentation label of a first feature outputted by an mth processing layer of the segmentation neural network;
calculating an intermediate cross-entropy loss value according to the cross-entropy loss function based on the real segmentation label and the segmentation label of the first feature outputted by the mth processing layer of the segmentation neural network; and
performing training according to the preset threshold based on the intermediate Deiss loss value and the intermediate cross-entropy loss value,
m and M being positive integers, and m being greater than 1 and less than M.