Publisher
Springer International Publishing
Reference32 articles.
1. figshare. https://rb.gy/vkuly5. Accessed 21 Apr 2021
2. World Glaucoma Association. https://www.glaucomapatients.org/basic/statistics/. Accessed 21 Apr 2021
3. Kaggle. https://www.kaggle.com/sreeharims/glaucoma-dataset. Accessed 21 Apr 2021
4. Abedin, M.Z., Nath, A.C., Dhar, P., Deb, K., Hossain, M.S.: License plate recognition system based on contour properties and deep learning model. In: 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 590–593. IEEE (2017)
5. Afolabi, O.J., Mabuza-Hocquet, G.P., Nelwamondo, F.V., Paul, B.S.: The use of U-Net lite and extreme gradient boost (XGB) for glaucoma detection. IEEE Access 9, 47411–47424 (2021). https://doi.org/10.1109/ACCESS.2021.3068204
Cited by
13 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