Automated Identification of Diabetic Retinopathy Stages Using Digital Fundus Images

  • Authors:

  • Jagadish Nayak;P. Subbanna Bhat;Rajendra Acharya U;C. M. Lim;Manjunath Kagathi

  • Affiliations:

  • Department of E&C Engineering, Manipal Institute of Technology, Manipal, India 576104;Department of E&C Engineering, National Institute of Technology Karnataka, Mangalore, India 574157;Department of ECE, Ngee Ann Polytechnic, Clementi, Singapore 599489;Department of ECE, Ngee Ann Polytechnic, Clementi, Singapore 599489;Eye Centre, National University Hospital, Singapore, Singapore

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2008

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Abstract

Diabetic retinopathy (DR) is caused by damage to the small blood vessels of the retina in the posterior part of the eye of the diabetic patient. The main stages of diabetic retinopathy are non-proliferate diabetes retinopathy (NPDR) and proliferate diabetes retinopathy (PDR). The retinal fundus photographs are widely used in the diagnosis and treatment of various eye diseases in clinics. It is also one of the main resources for mass screening of diabetic retinopathy. In this work, we have proposed a computer-based approach for the detection of diabetic retinopathy stage using fundus images. Image preprocessing, morphological processing techniques and texture analysis methods are applied on the fundus images to detect the features such as area of hard exudates, area of the blood vessels and the contrast. Our protocol uses total of 140 subjects consisting of two stages of DR and normal. Our extracted features are statistically significant (p驴