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eess.IV2023
Spatial Correspondence between Graph Neural Network-Segmented Images
Qian Li, Yunguan Fu, Qianye Yang +3
Graph neural networks (GNNs) have been proposed for medical image segmentation, by predicting anatomical structures represented by graphs of vertices and edges. One such type of gr…
eess.IV2022
WSC-Trans: A 3D network model for automatic multi-structural segmentation of temporal bone CT
Xin Hua, Zhijiang Du, Hongjian Yu +5
Cochlear implantation is currently the most effective treatment for patients with severe deafness, but mastering cochlear implantation is extremely challenging because the temporal…