ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding

Author:

Li Zihan1ORCID,Zheng Yuan2ORCID,Luo Xiangde3ORCID,Shan Dandan2ORCID,Hong Qingqi4ORCID

Affiliation:

1. Xiamen University & University of Washington, Xiamen, China

2. Xiamen University, Xiamen, China

3. University of Electronic Science and Technology of China, Chengdu, China

4. Xiamen University & Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Xiamen, China

Publisher

ACM

Reference59 articles.

1. Vijay Badrinarayanan , Alex Kendall , and Roberto Cipolla . 2017. Segnet: a deep convolutional encoder-decoder architecture for image segmentation . IEEE transactions on pattern analysis and machine intelligence, 39, 12, 2481--2495. Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017. Segnet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence, 39, 12, 2481--2495.

2. Christian F Baumgartner , Lisa M Koch , Marc Pollefeys , and Ender Konukoglu . 2017 . An exploration of 2d and 3d deep learning techniques for cardiac mr image segmentation . In International Workshop on Statistical Atlases and Computational Models of the Heart. Springer, 111--119 . Christian F Baumgartner, Lisa M Koch, Marc Pollefeys, and Ender Konukoglu. 2017. An exploration of 2d and 3d deep learning techniques for cardiac mr image segmentation. In International Workshop on Statistical Atlases and Computational Models of the Heart. Springer, 111--119.

3. Olivier Bernard et al. 2018. Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging 37 11 2514--2525. Olivier Bernard et al. 2018. Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging 37 11 2514--2525.

4. Yigit B Can , Krishna Chaitanya , Basil Mustafa , Lisa M Koch , Ender Konukoglu , and Christian F Baumgartner . 2018. Learning to segment medical images with scribble-supervision alone . In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support . Springer , 236--244. Yigit B Can, Krishna Chaitanya, Basil Mustafa, Lisa M Koch, Ender Konukoglu, and Christian F Baumgartner. 2018. Learning to segment medical images with scribble-supervision alone. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer, 236--244.

5. Hu Cao Yueyue Wang Joy Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian and Manning Wang. 2021. Swin-unet: unet-like pure transformer for medical image segmentation. arXiv preprint arXiv:2105.05537. Hu Cao Yueyue Wang Joy Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian and Manning Wang. 2021. Swin-unet: unet-like pure transformer for medical image segmentation. arXiv preprint arXiv:2105.05537.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sribble Supervised Multimodal Medical Image Segmentation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation;IEEE Transactions on Medical Imaging;2024-06

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