Author:
Deng Kaizhong,Meng Yanda,Gao Dongxu,Bridge Joshua,Shen Yaochun,Lip Gregory,Zhao Yitian,Zheng Yalin
Publisher
Springer International Publishing
Reference24 articles.
1. Chen, J., et al.: TransUNet: Transformers make strong encoders for medical image segmentation, February 2021
2. Chen, L.C., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation (2017)
3. Chen, X., Williams, B.M., Vallabhaneni, S.R., Czanner, G., Williams, R., Zheng, Y.: Learning active contour models for medical image segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11632–11640 (2019)
4. Dosovitskiy, A., et al.: An image is worth 16 $$\times $$ 16 words: transformers for image recognition at scale, October 2020
5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016
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