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Domain Generalization (DG) aims to reduce domain shifts between domains to achieve promising performance on the unseen target domain, which has been widely practiced in medical image segmentation.
Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W Taylor · 2017
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Realistic adversarial data augmentation for mr image segmentation
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, and Daniel Rueckert · 2020
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Self-challenging improves cross-domain generalization
Zeyi Huang, Haohan Wang, Eric P Xing, and Dong Huang · 2020
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Dofe: Domain-oriented feature embedding for generalizable fundus image segmentation on unseen datasets
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, and Pheng-Ann Heng · 2020
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Robust and generalizable visual representation learning via random convolutions
Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, and Marc Niethammer · 2020
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Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, and Pheng-Ann Heng · 2021
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Domain generalization with mixstyle
Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang · 2021
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Domain and content adaptive convolution based multi-source domain generalization for medical image segmentation
Shishuai Hu, Zehui Liao, Jianpeng Zhang, and Yong Xia · 2022
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Causality-inspired single-source domain generalization for medical image segmentation
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, and Daniel Rueckert · 2022
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Adversarial consistency for single domain generalization in medical image segmentation
Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, and Kayhan Batmanghelich · 2022
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Generalizable medical image segmentation via random amplitude mixup and domain-specific image restoration
Ziqi Zhou, Lei Qi, and Yinghuan Shi · 2022
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Skinsam: Empowering skin cancer segmentation with segment anything model
Mingzhe Hu, Yuheng Li, and Xiaofeng Yang · 2023
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Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan, and Li Yu · 2023
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Segment anything in medical images
Jun Ma and Bo Wang · 2023
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Autosam: Adapting sam to medical images by overloading the prompt encoder
Tal Shaharabany, Aviad Dahan, Raja Giryes, and Lior Wolf · 2023
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Rethinking data augmentation for single-source domain generalization in medical image segmentation
Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, and Jie Sun · 2023
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Medical sam adapter: Adapting segment anything model for medical image segmentation
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Auto-prompting sam for mobile friendly 3d medical image segmentation
Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin Chetty, and Dongxiao Zhu · 2023
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Junde Wu, Rao Fu, Huihui Fang, Yuanpei Liu, Zhaowei Wang, Yanwu Xu, Yueming Jin, and Tal Arbel · 2023
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How segment anything model (sam) boost medical image segmentation?
Yichi Zhang and Rushi Jiao · 2023
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