Patent ID: 11861501
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The method according to claim 1, wherein at least one model of the first segmentation model, the second segmentation model, or the third segmentation model comprises: a deep network encoding unit and a skip transfer decoding unit, the deep network encoding unit comprising n convolutional layers, and the skip transfer decoding unit comprising m deconvolution layers, both n and m being positive integers; and the method further comprises:
performing, by the deep network encoding unit, down-sampling feature extraction on a two-dimensional slice image through the n convolutional layers, to obtain a down-sampled first intermediate feature map; and
performing, by the skip transfer decoding unit, up-sampling processing on the first intermediate feature map and a second intermediate feature map through the m deconvolution layers, to obtain an up-sampled distribution probability map,
the second intermediate feature map comprising a feature map outputted by an ith convolutional layer of the n convolutional layers, i being an integer less than or equal to n.