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

Claim 12:
13. The medical image processing method according to claim 12, wherein the training the detection neural network and the encoding neural network according to a classification loss function and a regression loss function further comprises:
performing sampling in the medical image to obtain at least one training sample;
calculating an area ratio of a bounding box of the at least one training sample to a bounding box of the second feature; and
determining a training sample with the area ratio greater than a first threshold as a positive training sample, and determining a training sample with the area ratio less than a second threshold as a negative training sample,
the positive training sample being used for training a classification loss and a regression loss, and the negative training sample being used for training the classification loss.