Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images-Reference-Cited by-同舟云学术

Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images

Published:2013-01-17 Issue:4 Volume:26 Page:803-812
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Tariq Anam,Akram M. Usman,Shaukat Arslan,Khan Shoab A.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1007/s10278-012-9549-4.pdf

Reference31 articles.

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3. Niemeijer M, Ginneken BV, Russell SR, Suttorp-Schulten MS, Abrmoff MD: Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis. Invest Ophthalmology Vis Sci 48(5):2260–2267,2007

4. Zhang X, Chutatape O: Top down and bottom up strategies in lesion detection of background diabetic retinopathy. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, CVPR 2005, 2: pp 422–428

5. Acharya UR, Chua CK, Ng EYK, Yu W, Chee C: Application of higher order spectra for the identification of diabetes retinopathy stages. J Med Systems 32:481–488,2008

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