Patent ID: 11861829
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The method according to claim 1, wherein the predicting the position information of the region of interest and the confidence score thereof in the to-be-detected medical image by the deep neural network based on the superposed feature map of each slice in the to-be-detected medical image comprises:
processing, by the device, the superposed feature map of each slice in the to-be-detected medical image, to obtain the position information of an initial region of interest and an initial confidence score thereof in the to-be-detected medical image; and
processing, by the device, the position information of the initial region of interest and the initial confidence score thereof, to obtain the position information of the region of interest and the confidence score thereof in the to-be-detected medical image.