DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography-Reference-Cited by-同舟云学术

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DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography

Published:2024-07-12 Issue:10 Volume:18 Page:7487-7498
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Li Jiajia,Wu Qing,Wang Yuanquan,Zhou Shoujun,Zhang Lei,Wei Jin,Zhao Di

Funder

National Science Foundation of China

International Science and technology cooperation plan project of Zhenjiang

National Key Research and Development Program of China

Basic Research Project of Shenzhen Science and Technology Innovation Commission

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11760-024-03409-5.pdf

Reference39 articles.

1. Sleeman, K.E., de Brito, M., Etkind, S., Nkhoma, K., Guo, P., Higginison, I.J., et al.: The escalating global burden of serious health-related suffering: Projections to 2060 by world regions, age groups, and health conditions. Lancet Global Health. 7(7), 883–892 (2019). https://doi.org/10.1016/S2214-109X(19)30172-X

2. Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2015, pp. 234–241. Springer (2015). https://doi.org/10.1007/978-3-319-24574-4

3. Çiçek, Ö., Abdulkadir, A., Lienkamp, S.S., Brox, T., Ronneberger, O.: 3d u-net: Learning ¨ dense volumetric segmentation from sparse annotation. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016, pp. 424–432. Springer (2016). https://doi.org/10.1007/978-3-319-46723-8_49

4. Milletari, F., Navab, N., Ahmadi, S.-A.: V-net: Fully convolutional neural networks for volumetric medical image segmentation. In: 2016 Fourth International Conference on 3D Vision (3DV), pp. 565–571 (2016). https://doi.org/10.1109/3DV.2016.79. IEEE

5. Yu, L., Cheng, J.-Z., Dou, Q., Yang, X., Chen, H., Qin, J., et al.: Automatic 3d cardiovascular mr segmentation with densely-connected volumetric convnets. In: Medical Image Computing and Computer-Assisted Intervention- MICCAI 2017, pp. 287–295. Springer (2017). https://doi.org/10.1007/978-3-319-66185-8_33

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