Author:
Li Boliang,Wang Yan,Xu Yaming,Wu Chen
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference58 articles.
1. A survey on medical image segmentation;Masood;Curr. Med. Imaging,2015
2. Semi-supervised semantic segmentation needs strong, varied perturbations;French,2019
3. Y. Ouali, C. Hudelot, M. Tami, Semi-supervised semantic segmentation with cross-consistency training, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 12674–12684.
4. S. Park, J. Park, S.-J. Shin, I.-C. Moon, Adversarial dropout for supervised and semi-supervised learning, in: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligence, 2018, pp. 3917–3924.
5. Semi-supervised learning (Chapelle, O. et al., eds.; 2006)[book reviews];Chapelle;IEEE Trans. Neural Netw.,2009