Author:
Wu Junde,Fang Huihui,Yang Dalu,Wang Zhaowei,Zhou Wenshuo,Shang Fangxin,Yang Yehui,Xu Yanwu
Publisher
Springer Nature Switzerland
Reference31 articles.
1. Albarqouni, S., Baur, C., Achilles, F., Belagiannis, V., Demirci, S., Navab, N.: Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images. IEEE Trans. Med. Imaging 35(5), 1313–1321 (2016)
2. Almazroa, A., et al.: Retinal fundus images for glaucoma analysis: The RIGA dataset. In: SPIE Conference on Medical Imaging (2018)
3. Bajwa, M.N., et al.: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. BMC Med. Inform. Decis. Mak. 19(1), 1–16 (2019)
4. Bechar, M.E.A., Settouti, N., Barra, V., Chikh, M.A.: Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease. Multidimension. Syst. Signal Process. 29(3), 979–998 (2018)
5. Cao, P., Xu, Y., Kong, Y., Wang, Y.: Max-MIG: an information theoretic approach for joint learning from crowds. arXiv preprint arXiv:1905.13436 (2019)
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献