A Review on Automatic Detection of Retinal Lesions in Fundus Images for Diabetic Retinopathy-Reference-Cited by-同舟云学术

A Review on Automatic Detection of Retinal Lesions in Fundus Images for Diabetic Retinopathy

Published:2020-09-22 Issue: Volume: Page:177-202
ISSN:
Container-title:Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems
language:
Short-container-title:

Author:

Koppara Revindran Remya,Nanjappa Giriprasad Mahendra

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6141-2_10

Reference121 articles.

1. Shankar SR, Jain A, Mitta A (2019) Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images. Proceedings of IEEE conference on computer Vision and pattern Recognition; 2009 Jun 20–25; Miami, Florida: USA 2019; pp. 210–17

2. World Health Organization. Prevention of Blindness and Visual Impairment. Available at http://www.who.int/blindness/causes/priority/en/index6.html

3. Song J, Lee B (2017) Development of automatic retinal vessel segmentation method in fundus images via convolutional neural networks. Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2017 July 11–15; Jeju Island, Korea 2017; pp. 681–84

4. Department of Ophthalmology & Visual Sciences. Color Fundus Photography. Available at http://ophthalmology.med.ubc.ca

5. Non-proliferative Diabetic Retinopathy (NPDR) and Macular Edema. Available at https://louisvillediabeticeyedoctor.com

Cited by 1 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. Quadratic Weighted Kappa Score Exploration in Diabetic Retinopathy Severity Classification Using EfficientNet;2022 1st Zimbabwe Conference of Information and Communication Technologies (ZCICT);2022-11-09