MOTC: Abdominal Multi-objective Segmentation Model with Parallel Fusion of Global and Local Information-Reference-Cited by-同舟云学术

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MOTC: Abdominal Multi-objective Segmentation Model with Parallel Fusion of Global and Local Information

Published:2024-02-12 Issue:3 Volume:37 Page:1-16
ISSN:2948-2933
Container-title:Journal of Imaging Informatics in Medicine
language:en
Short-container-title:J Digit Imaging. Inform. med.

Author:

Zhang GuoDong,Gu WenWen,Wang SuRan,Li YanLin,Zhao DaZhe,Liang TingYu,Gong ZhaoXuan,Ju RongHui

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Liaoning

Aviation Science Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10278-024-00978-2.pdf

Reference42 articles.

1. Mei-Ling Huang and Yihui Wu. Semantic segmentation of pancreatic medical images by using convolutional neural network. Biomedical Signal Processing and Control, 73:103458, 2022. https://doi.org/10.1016/j.bspc.2021.103458.

2. Guoping Xu, Xingrong Wu, Xuan Zhang, and Xinwei He. Levit-unet: Make faster encoders with transformer for medical image segmentation. ArXiv, abs/2107.08623, 2021. https://doi.org/10.48550/arXiv.2107.08623.

3. Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He. Non-local neural networks. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7794–7803, 2018. https://doi.org/10.1109/CVPR.2018.00813.

4. Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, and Daniel Rueckert. Drinet for medical image segmentation. IEEE Transactions on Medical Imaging, 37(11):2453–2462, 2018. https://doi.org/10.1109/TMI.2018.2835303.

5. Dingwen Zhang, Jiajia Zhang, Qiang Zhang, Jungong Han, Shu Zhang, and Junwei Han. Automatic pancreas segmentation based on lightweight dcnn modules and spatial prior propagation. Pattern Recognition, 114:107762, 2021. https://doi.org/10.1016/j.patcog.2020.107762.

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