Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Reference16 articles.
1. R. S. Biyani and B. M. Patre, “Algorithms for red lesion detection in Diabetic Retinopathy: A review,” Biomed. Pharmacother. 107, 681-688 (2018).
2. M. U. Akram, S. Khalid, and S. A. Khan, “Identification and classification of microaneurysms for early detection of diabetic retinopathy,” Pattern Recogn. 46 (1), 107–116 (2013).
3. B. Antal and A. Hajdu, “An ensemble-based system for microaneurysm detection and diabetic retinopathy grading,” IEEE Trans. Biomed. Eng. 59 (6), 1720–1726 (2012).
4. N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, “Dropout: A simple way to prevent neural networks from overfitting,” J. Mach. Learn. Res. 15 (6), 1929–1958 (2014).
5. V. Nair and G. E. Hinton, “Rectified linear units improve restricted Boltzmann machines,” in Proc. 27th Int. Conf. on Machine Learning (ICML’10) (Haifa, Israel, 2010), pp. 807–814.
Cited by
24 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