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Diabetic Retinopathy Detection from Fundus Images Using Machine Learning Techniques : A Review

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Abstract

Diabetic retinopathy is one of the leading causes of blindness in today’s world. One of the major causes of Diabetic retinopathy is diabetes and also this occurs due to hereditary reasons. DR is classified into proliferative, non-proliferative and diabetic maculopathy. This paper approaches to one of the signs of non-proliferative DR called as exudates (commonly called hard exudates) and several methods which is introduced to detect them in retina. The work includes the algorithms, outcomes, datasets used and other results related with it. The results are compared by tabulating the evaluations and procedures.

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Authors and Affiliations

  1. AIML Department, Srinivas Institute of Technology, Mangaluru, Karnataka, 574143, India

    Anoop Balakrishnan Kadan

  2. ECE Department, Toch Institute of Science and Technology, Ernakulam, Kerala, 682313, India

    Perumal Sankar Subbian

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  1. Anoop Balakrishnan Kadan
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Correspondence to Anoop Balakrishnan Kadan.

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Kadan, A.B., Subbian, P.S. Diabetic Retinopathy Detection from Fundus Images Using Machine Learning Techniques : A Review. Wireless Pers Commun 121, 2199–2212 (2021). https://doi.org/10.1007/s11277-021-08817-1

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