Author:
Patil Rajeshwar,Sharma Sanjeev
Publisher
Springer Science and Business Media LLC
Reference43 articles.
1. Glaucoma (2023) https://www.nei.nih.gov/learn-about-eye-health/eye-conditions-anddiseases/glaucoma
2. Vision impairment and blindness (2023) https://www.who.int/en/news-room/factsheets/detail/blindness-and-visual-impairment
3. Abbas Q (2017) Glaucoma-deep: detection of glaucoma eye disease on retinal fundus images using deep learning. Int J Adv Comput Sci Appl 8(6). https://doi.org/10.14569/IJACSA.2017.080606
4. Abdani SR, Zulkifley MA, Kamari NAM, Moubark AM (2022) Optimal selection of parallel atrous convolutions for mobilenet v3. In: Proceedings of the 11th international conference on robotics, vision, signal processing and power applications. Springer, pp 985–990. https://doi.org/10.1007/978-981-16-8129-5150
5. Afroze T, Akther S, Chowdhury MA, Hossain E, Hossain MS, Andersson K (2021) Glaucoma detection using inception convolutional neural network v3. In: International conference on applied intelligence and informatics. Springer, pp 17–28. https://doi.org/10.1007/978-3-030-82269-9_2
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
1. ConjunctiveNet: an improved deep learning-based conjunctive-eyes segmentation and severity detection model;International Journal of Intelligent Computing and Cybernetics;2024-08-20
2. Brain MRI classification for tumor detection with deep pre-trained models;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11