VA-TransUNet: A U-shaped Medical Image Segmentation Network with Visual Attention

Author:

Jiang Ting1ORCID,Xu Tao1ORCID,Li Xiaoning1ORCID

Affiliation:

1. College of Computer Science, Sichuan Normal University, China

Publisher

ACM

Reference34 articles.

1. Hornak J P . Medical Imaging Technology[M] . Springer Singapore , 2015 . Hornak J P. Medical Imaging Technology[M]. Springer Singapore, 2015.

2. LeCun Y , Bengio Y , Hinton G. Deep learning[J]. nature , 2015 , 521(7553): 436-444. LeCun Y, Bengio Y, Hinton G. Deep learning[J]. nature, 2015, 521(7553): 436-444.

3. Jca B Hao Z A Al C Deep learning in computer vision: A critical review of emerging techniques and application scenarios - ScienceDirect[J]. Machine Learning with Applications 6. Jca B Hao Z A Al C Deep learning in computer vision: A critical review of emerging techniques and application scenarios - ScienceDirect[J]. Machine Learning with Applications 6.

4. Long J , Shelhamer E , Darrell T. Fully Convolutional Networks for Semantic Segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence , 2015 , 39 ( 4 ): 640 - 651 . Long J, Shelhamer E, Darrell T. Fully Convolutional Networks for Semantic Segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 39(4):640-651.

5. Ronneberger O , Fischer P , Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[J] . Springer International Publishing , 2015 . Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[J]. Springer International Publishing, 2015.

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