Early Rubeosis Iridis Detection Using Feature Extraction Process

Author:

Karim Rohana Abdul,Mobin Nur Amira Adila Abd,Arshad Nurul Wahidah,Zakaria Nor Farizan,Bakar M. Zabri Abu

Publisher

Springer Singapore

Reference12 articles.

1. Wong TY et al (2018) Guidelines on diabetic eye care. Ophthalmology 125(10):1608–1622

2. Bhatia SK, Atole P, Kamble S, Telang P (2015) Methodology for detecting diabetic presence from iris image analysis. Int J Adv Res Comput Eng & Technol (IJARCET) 4(3)

3. Hussein SE, Hassan OA, Granat MH (2013) Assessment of the potential iridology for diagnosing kidney disease using wavelet analysis and neural networks. Biomed Signal Process Control 8:534–541

4. More SB, Pergad ND (2012) On a methodology for detecting diabetic presence from iris image analysis. In: International Conference on Power, Signals, Controls and Computation 2012 Jan 3, IEEE, pp 1–6

5. Walvekar M, Salunke G (2015) Detection of diabetic retinopathy with feature extraction using image processing. Int J Emerg Technol Adv Eng 5(1):133–137

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. A Dynamic Circular Hough Transform Based Iris Segmentation;Lecture Notes on Data Engineering and Communications Technologies;2022-09-01

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