DS-Former: A dual-stream encoding-based transformer for 3D medical image segmentation-Reference-Cited by-同舟云学术

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DS-Former: A dual-stream encoding-based transformer for 3D medical image segmentation

Published:2024-03 Issue: Volume:89 Page:105702
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhang Lei,Zuo Yi,Jia Yu,Li Dongze,Zeng Rui,Li Dong,Chen Junren,Wang Wei^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference52 articles.

1. J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3431–3440.

2. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. H. Zhao, J. Shi, X. Qi, X. Wang, J. Jia, Pyramid scene parsing network, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 2881–2890.

4. X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN);Thakur;Biomed. Signal Process. Control,2021

5. K. He, G. Gkioxari, P. Dollár, R. Girshick, Mask r-cnn, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 2961–2969.

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1. A Cardiac MRI Segmentation Method Based on Context Cascade Attention;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

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