GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels

Author:

Wu Yixuan1ORCID,Chen Jintai1ORCID,Yan Jiahuan1ORCID,Zhu Yiheng1ORCID,Chen Danny Z.2ORCID,Wu Jian1ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. University of Notre Dame, South Bend, IN, USA

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference62 articles.

1. Inigo Alonso Alberto Sabater David Ferstl etal 2021. Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank. In ICCV. Inigo Alonso Alberto Sabater David Ferstl et al. 2021. Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank. In ICCV.

2. Michela Antonelli Annika Reinke Spyridon Bakas etal 2022. The medical segmentation decathlon. Nature Communications (2022). Michela Antonelli Annika Reinke Spyridon Bakas et al. 2022. The medical segmentation decathlon. Nature Communications (2022).

3. Jordan T Ash Chicheng Zhang Akshay Krishnamurthy etal 2019. Deep batch active learning by diverse uncertain gradient lower bounds. ArXiv Preprint ArXiv:1906.03671 (2019). Jordan T Ash Chicheng Zhang Akshay Krishnamurthy et al. 2019. Deep batch active learning by diverse uncertain gradient lower bounds. ArXiv Preprint ArXiv:1906.03671 (2019).

4. Yutong Bai Xinlei Chen Alexander Kirillov etal 2022. Point-level region contrast for object detection pre-training. In CVPR. Yutong Bai Xinlei Chen Alexander Kirillov et al. 2022. Point-level region contrast for object detection pre-training. In CVPR.

5. Olivier Bernard Alain Lalande Clement Zotti etal 2018. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved? TMI (2018). Olivier Bernard Alain Lalande Clement Zotti et al. 2018. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved? TMI (2018).

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