Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey

Author:

Soomro Toufique Ahmed,Gao Junbin,Khan Tariq,Hani Ahmad Fadzil M.,Khan Mohammad A. U.,Paul Manoranjan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Reference164 articles.

1. Faust O et al (2010) Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review. J Med Syst 36(1):145–157

2. Niemeijer M et al (2010) Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs. IEEE Trans Med Imaging 29(1):185–195

3. Malaysia PD (2009) Clinical practice guidelines (CPG) management of type 2 diabetes mellitus. Min Health Malays Malays Endocr Metabolic Soc Acad Med Malays 1:1000

4. Hani A, Soomro TA (2013) Non-invasive contrast enhancement for retinal fundus imaging. IEEE Int Conf Control Syst Comput Eng (ICCSCE) 1:197–202

5. Soomro TA (2014) Non-invasive image denoising and contrast enhancement techniques for retinal fundus images. Master Thesis. Electrical and Electronic Engineering Department Universiti Teknologi Petronas

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