Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation

Author:

Xuan PingORCID,Jiang Bin,Cui Hui,Jin Qiangguo,Cheng Peng,Nakaguchi Toshiya,Zhang Tiangang,Li Changyang,Ning ZhiyuORCID,Guo Menghan,Wang Linlin

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Heilongjiang Province

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evolving graph convolutional network with transformer for CT segmentation;Applied Soft Computing;2024-11

2. A 3D boundary-guided hybrid network with convolutions and Transformers for lung tumor segmentation in CT images;Computers in Biology and Medicine;2024-09

3. Evolution of Lung Tumor Segmentation: Comprehensive Analysis;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

4. Mutually enhanced multi-view information learning for segmentation of lung tumor in CT images;Physics in Medicine & Biology;2024-03-14

5. MCAFNet: multiscale cross-layer attention fusion network for honeycomb lung lesion segmentation;Medical & Biological Engineering & Computing;2023-12-27

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