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Analysis of retinal fundus images for grading of diabetic retinopathy severity

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Abstract

Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. In this article, a computerised DR grading system, which digitally analyses retinal fundus image, is used to measure foveal avascular zone. A v-fold cross-validation method is applied to the FINDeRS database to evaluate the performance of the DR system. It is shown that the system achieved sensitivity of >84%, specificity of >97% and accuracy of >95% for all DR stages. At high values of sensitivity (>95%), specificity (>97%) and accuracy (>98%) obtained for No DR and severe NPDR/PDR stages, the computerised DR grading system is suitable for early detection of DR and for effective treatment of severe cases.

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Acknowledgment

The authors would like to acknowledge the contributions of Dr. Nor Fariza Ngah, Dr. Tara Mary George, Dr. Mariam Ismail, Dr. Elias Hussein and Dr. Goh Pik Pin from Department of Ophthalmology, Hospital Selayang for their suggestions and contributions in providing the retinal fundus image data. The research study was funded by the Ministry of Science, Technology and Innovation under the Techno Fund grant TF0206C129. The Clinical Observational Study NMRR–08–942–1997 was approved by the Clinical Research Centre, Ministry of Health, Malaysia.

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Authors and Affiliations

  1. Centre for Intelligent Signal and Imaging Research, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750, Tronoh, Perak Darul Ridzuan, Malaysia

    M. H. Ahmad Fadzil, Lila Iznita Izhar, Hermawan Nugroho & Hanung Adi Nugroho

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  1. M. H. Ahmad Fadzil
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  2. Lila Iznita Izhar
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  3. Hermawan Nugroho
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  4. Hanung Adi Nugroho
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Correspondence to Hanung Adi Nugroho.

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Ahmad Fadzil, M.H., Izhar, L.I., Nugroho, H. et al. Analysis of retinal fundus images for grading of diabetic retinopathy severity. Med Biol Eng Comput 49, 693–700 (2011). https://doi.org/10.1007/s11517-011-0734-2

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  • DOI: https://doi.org/10.1007/s11517-011-0734-2

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