RFF-Net: A Refined Feature Feedback Network for Muscle Ultrasound Image Segmentation with Feature Subtraction and Deep Supervision

Author:

Xie Weida1ORCID,Zhao Ruina2ORCID,Li Tianxiang2ORCID,Xiao Deqiang1ORCID,Wang Baoting1ORCID,Song Hong1ORCID,Yang Meng2ORCID,Yang Jian1ORCID

Affiliation:

1. Beijing Institute of Technology, China

2. Peking Union Medical College Hospital, China

Publisher

ACM

Reference14 articles.

1. IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound

2. Neil J Cronin, Taija Finni, and Olivier Seynnes. 2020. Fully automated analysis of muscle architecture from B-mode ultrasound images with deep learning. arXiv preprint arXiv:2009.04790 (2020).

3. Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao. 2020. Pranet: Parallel reverse attention network for polyp segmentation. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VI 23. Springer, 263–273.

4. Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation

5. Deep Residual Learning for Image Recognition

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