Diabetic retinopathy through retinal image analysis: A review

  • Authors

    • Y. Madhu Sudhana Reddy
    • R. S. Ernest Ravindran
    • K. Hari Kishore
    2017-12-31
    https://doi.org/10.14419/ijet.v7i1.5.9072
  • Diabetic Retinopathy (DR), Optic Disk, Blood Vessel Segmentation, Exudates, datasets.

  • Abstract

    In this paper, the recent advancement in the Digital Image Processing Aspects in the Diabetic Retinopathy (DR) were been discussed. The major approaches in DR are categorized into four classes namely Preprocessing, Optic Disk Detection, Blood Vessel Extraction and supervised classification. The optic disk, blood vessels and exudates gives more analytical details about the retinal image, segmentation of those features are very important. Further these approaches are classified into finer classes based on the methodologies accomplished in the respective schemes. The details of the database those used for testing the proposed algorithms is also illustrated in this paper. The details of performance metrics such as accuracy, sensitivity, specificity, precision, recall and F-measure are also discussed through their mathematical expressions. 

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    Madhu Sudhana Reddy, Y., Ernest Ravindran, R. S., & Hari Kishore, K. (2017). Diabetic retinopathy through retinal image analysis: A review. International Journal of Engineering & Technology, 7(1.5), 19-25. https://doi.org/10.14419/ijet.v7i1.5.9072

    Received date: 2018-01-07

    Accepted date: 2018-01-07

    Published date: 2017-12-31