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

Claim 19:
20. A non-transitory computer-readable storage medium, storing instructions which when executed by at least one processor cause the at least one processor to perform:
inputting a to-be-predicted medical image into a multi-task deep convolutional neural network model, the multi-task deep convolutional neural network model including an image input layer, a shared layer, and n parallel task output layers, the n parallel task output layers each comprising separate loss functions and separate optimizers and each outputting a separate prediction based on a corresponding type of medical image; and
outputting one or more lesion property prediction results of the to-be-predicted medical image through one or more of the n task output layers, wherein
the multi-task deep convolutional neural network model is trained with n types of medical image training sets, n being a positive integer that is greater than or equal to 2.