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

Claim 11:
12. The medical image processing method according to claim 8, wherein the training the detection neural network and the encoding neural network according to a classification loss function and a regression loss function comprises:
processing a training sample by using the encoding neural network, the segmentation neural network, and the detection neural network, to obtain a detection result, the parameter of the prediction box comprising position coordinates of a central point of the prediction box and the size of the prediction box;
calculating a classification loss value according to the classification loss function based on the prediction probability, and calculating a regression loss value according to the regression loss function based on the parameter of the prediction box and a parameter of a real box of the second feature; and
performing training based on the classification loss value and the regression loss value.