公开(公告)号：US12106484B2

公开(公告)日：2024-10-01

申请号：US18635023

申请日：2024-04-15

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Xuming Zhang ,  Mingwei Wen ,  Quan Zhou

IPC: G06T7/00 ,  G06T3/4046 ,  G06T7/11 ,  G06T7/143 ,  G16H30/40

CPC classification number: G06T7/11 ,  G06T3/4046 ,  G06T7/0012 ,  G06T7/143 ,  G16H30/40 ,  G06T2200/04 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30096

Abstract: The disclosure belongs to the field of image segmentation in medical image processing and discloses a three-dimensional medical image segmentation method and system based on short-term and long-term memory self-attention models, in which the method can segment a target area image in the medical image, which includes the following. (1) A training set sample is established. (2) Processing is performed on the original three-dimensional medical image to be segmented to obtain a sample to be segmented. (3) A three-dimensional medical image segmentation network based on short-term and long-term memory self-attention is established and trained. (4) The sample to be segmented is input to the network, and then a segmentation result of the target area in the sample to be segmented is output. By combining CNN and Transformer, a new model for accurate real-time segmentation of the target area (such as a tumor) in the three-dimensional medical image is obtained.