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

Claim 2:
3. The medical image processing method according to claim 2, wherein the processing the detected intermediate input image, to detect a second feature comprised in the first feature comprises:
processing the detected intermediate input image by using a detection neural network, to detect the second feature comprised in the first feature, the detection neural network comprising N processing layers, N being a positive integer,
the Mth encoded intermediate image outputted by the Mth processing layer of the encoding neural network being processed by using a first processing layer of the detection neural network, to output a first detected intermediate image; and
the processing the encoded intermediate image and the segmented intermediate image based on an attention mechanism, to generate a detected intermediate input image comprises:
processing the encoded intermediate image and the segmented intermediate image based on the attention mechanism by using an attention network, to generate the detected intermediate input image;
processing, by using the attention network, an (n−1)th detected intermediate image outputted by an (n−1)th processing layer of the detection neural network, the (m1)th encoded intermediate image outputted by the (m1)th processing layer of the encoding neural network, and the (m2)th segmented intermediate image outputted by the (m2)th processing layer of the segmentation neural network, to output an nth detected intermediate input image, and
processing the nth detected intermediate input image by using an nth processing layer of the detection neural network, to output an nth detected intermediate image,
the (m1)th encoded intermediate image and the (m2)th segmented intermediate image having the same image size as the (n−1)th detected intermediate image, n being a positive integer, and n being greater than 1 and less than or equal to N.