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

Claim 7:
8. An apparatus for performing a deep learning based medical image detection, the apparatus comprising:
a memory storing instructions; and
a processor in communication with the memory, wherein, when the instructions are executed by the processor, the processor is configured to cause the apparatus to:
acquire a to-be-detected medical image comprising a plurality of slices;
for each slice in the to-be-detected medical image:
extract N basic feature maps of the slice by a deep neural network, N being an integer greater than 1,
merge features of the N basic feature maps of the slice by the deep neural network, to obtain M enhanced feature maps of the slice, M being an integer greater than 1, and
respectively perform a hierarchically dilated convolutions operation on the M enhanced feature maps of the slice by the deep neural network, to generate a superposed feature map of each enhanced feature map of the slice; and

predict position information of a region of interest and a 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.