Patent ID: 11915415
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. The image processing apparatus according to claim 14, wherein in a case that n is equal to 2,
the n types of medical image training sets includes a first type of medical image training set and a second type of medical image training set, two task output layers in the multi-task deep convolutional neural network model respectively correspond to a task 1 and a task 2, the task 1 includes a task 1 loss function and a task 1 optimizer, and the task 2 includes a task 2 loss function and a task 2 optimizer; and
the processing circuitry is configured to:
input m1 medical images in the first type of medical image training set into the image input layer of the multi-task deep convolutional neural network model, and optimize the task 1 optimizer according to the task 1 loss function, to update a shared parameter of the task 1 and the task 2, and an independent parameter of the task 1; and
input m2 medical images in the second type of medical image training set into the image input layer of the multi-task deep convolutional neural network model, and optimize the task 2 optimizer according to the task 2 loss function, to update a shared parameter of the task 1 and the task 2, and an independent parameter of the task 2,
wherein both m1 and m2 are positive integers that are greater than or equal to 1.