Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-Modal Representation Consistency

Author:

Ma Weijie,Zhu Ye,Zhang Ruimao,Yang Jie,Hu Yiwen,Li Zhen,Xiang Li

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Bisschops, R., et al.: BASIC (BLI adenoma serrated international classification) classification for colorectal polyp characterization with blue light imaging. Endoscopy 50(03), 211–220 (2018)

2. Cao, H., et al.: Swin-UNet: UNet-like pure transformer for medical image segmentation. arXiv preprint arXiv:2105.05537 (2021)

3. Lecture Notes in Computer Science;N Carion,2020

4. Chen, C., et al.: Progressive feature alignment for unsupervised domain adaptation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 627–636 (2019)

5. Dosovitskiy, A., et al.: An image is worth $$16 \times 16$$ words: transformers for image recognition at scale. In: International Conference on Learning Representations (2021)

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