A Road Map to Understand the Current Status of Diabetic Retinopathy Detection and Classification Methods
Nitin M Shivsharan1, Sanjay Ganorkar2
1Nitin M Shivsharan*, E & TC Dept Sinhgad College of Engineering, Pune, India.
2Sanjay Ganorkar, E & TC Dept Sinhgad College of Engineering, Pune, India.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 17, 2020. | Manuscript published on April 30, 2020. | PP: 406-412 | Volume-9 Issue-4, April 2020. | Retrieval Number: C5605029320/2020©BEIESP | DOI: 10.35940/ijeat.C5605.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the working-age population, the primary reason for blindness is Diabetic Retinopathy, which can be identified from the retinal fundus image. So far, more research works had been progressed for DR early detection since it is vital to save the vision of diabetes patients. This research work has made a short survey on diverse DR detection mechanisms for determining the shortcoming of contributed papers to promote the future scope of this research aspect. The overall analysis is made with respect to chronological review, performance parameter analysis, and algorithmic analysis used in different contributed papers. The obtained best performance values are also clearly determined. Moreover, the research gaps and challenges associated with this diabetic retinopathy detection and classification methods are discussed further, which directly paves way for future progressions.
Keywords: Diabetic Retinopathy; Microaneurysms; DR Detection and Classification; Algorithmic Analysis; Challenges.