Author:
Rebinth Anisha,Kumar S. Mohan
Reference15 articles.
1. Xiong, L., Li, H., & Zheng, Y. (2014). Automatic detection of glaucoma in retinal images. In 2014 9th IEEE Conference on Industrial Electronics and Applications (pp. 1016–1019). IEEE.
2. Thangaraj, V., & Natarajan, V. (2017). Glaucoma diagnosis using support vector machine. In 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 394–399). IEEE.
3. Cheng, J., Liu, J., Wong, D. W. K., Tan, N. M., Lee, B. H., Cheung, C., … & Aung, T. (2011). Focal edge association to glaucoma diagnosis. In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 4481–4484). IEEE.
4. Fink, F., Worle, K., Gruber, P., Tome, A. M., Gorriz-Saez, J. M., Puntonet, C. G., & Lang, E. W. (2008). ICA analysis of retina images for glaucoma classification. In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 4664–4667). IEEE.
5. Yadav, D., Sarathi, M. P., & Dutta, M. K. (2014). Classification of glaucoma based on texture features using neural networks. In 2014 Seventh International Conference on Contemporary Computing (IC3) (pp. 109–112). IEEE.
Cited by
2 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