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

Claim 1:
2. The medical image processing method according to claim 1, wherein the processing a medical image to generate an encoded intermediate image comprises:
processing the medical image by using an encoding neural network to generate the encoded intermediate image, the encoding neural network comprising M processing layers, M being a positive integer, the processing layer comprising at least one of a convolution network, a transposed convolutional network, and a pooling layer;
the processing the medical image by using an encoding neural network further comprises:
processing the medical image by using a first processing layer of the encoding neural network, to output a first encoded intermediate image; and
processing, by using an (m1)th processing layer of the encoding neural network, an (m1−1)th encoded intermediate image outputted by an (m1−1)th processing layer of the encoding neural network, to output an (m1)th encoded intermediate image, m1 being a positive integer, and m1 being greater than 1 and less than or equal to M; and
the processing the encoded intermediate image, to segment a first feature and generate a segmented intermediate image further comprises:
processing the encoded intermediate image by using a segmentation neural network, to segment the first feature and generate the segmented intermediate image, the segmentation neural network comprising M processing layers, an Mth encoded intermediate image outputted by an Mth processing layer of the encoding neural network being processed by using a first processing layer of the segmentation neural network, to output a first segmented intermediate image;
processing, by using an (m2)th processing layer of the segmentation neural network, an (m2−1)th segmented intermediate image outputted by an (m2−1)th processing layer of the segmentation neural network and an (M−m2+1)th encoded intermediate image outputted by an (M−m2+1)th processing layer of the encoding neural network, to output an (m2)th segmented intermediate image, m2 being a positive integer, and m2 being greater than 1 and less than or equal to M; and
processing, by using the convolution network, an Mth segmented intermediate image outputted by an Mth processing layer of the segmentation neural network, to generate a segmentation result of the first feature.