Patent ID: 11954863
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An image segmentation method, performed by a computing device, the method comprising:
obtaining a general tumor image;
performing tumor localization on the tumor image to obtain a candidate image indicating a position of a tumor region in the general tumor image;
inputting the candidate image to a cascaded segmentation network constructed based on a machine learning model; and
performing image segmentation on the general tumor region in the candidate image using a first-level segmentation network, a second-level segmentation network and a third-level segmentation network in the cascaded segmentation network to obtain a set of segmented images including a first-level intermediate segmented image, a second-level intermediate segmented image, and a segmented image, wherein an input image and an output image are selecting from the set of segmented images, comprising:
inputting the input image to a first basic network layer of several first basic network layers in a downsampling stage of the segmentation network, and performing convolution on the input image by using a second dense block layer in the first basic network layer; and
traversing the other first basic network layers of the several first basic network layers according to a feature propagation sequence, and after the traversal is performed, using features downsampled by a last first basic network layer as intermediate features.