Meta-Prior Knowledge Learning from Relevant Tasks for Few Shot Ear Structure Segmentation of U-HRCT Images

Author:

Cao Jie1ORCID,Chen Meijuan1ORCID,Zhu Ziyao1ORCID,Zhuo Li1ORCID,Li Xiaoguang1ORCID,Yin Hongxia2ORCID,Wang Zhenchang2ORCID

Affiliation:

1. Beiing University of Technology, China

2. Beijing Friendship Hospital, China

Publisher

ACM

Reference20 articles.

1. Fei, N., Lu, Z., Gao, Y., Tian, J., Xiang, T., Wen, J.R.: Meta-learning across meta-tasks for few-shot learning. arXiv preprint arXiv:2002.04274 (2020)

2. Finn, C., Abbeel, P., Levine, S.: Model-agnostic meta-learning for fast adaptation of deep networks. In: International conference on machine learning. pp. 1126–1135. PMLR (2017)

3. Xu, J., Reh, D., Carey, J., Mahesh, M., Siewerdsen, J.: Technical assessment of a cone-beam ct scanner for otolaryngology imaging: image quality, dose, and technique protocols. Medical physics 39(8), 4932–4942 (2012)

4. Yao, H., Huang, L.K., Zhang, L., Wei, Y., Tian, L., Zou, J., Huang, J., : Improving generalization in meta-learning via task augmentation. In: International conference on machine learning. pp. 11887–11897. PMLR (2021)

5. Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification

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