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Overview and Analysis of Present-Day Diabetic Retinopathy (DR) Detection Techniques

Overview and Analysis of Present-Day Diabetic Retinopathy (DR) Detection Techniques

Smita Das, Swanirbhar Majumder
Copyright: © 2022 |Pages: 29
ISBN13: 9781799889298|ISBN10: 1799889297|EISBN13: 9781799889304
DOI: 10.4018/978-1-7998-8929-8.ch003
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MLA

Das, Smita, and Swanirbhar Majumder. "Overview and Analysis of Present-Day Diabetic Retinopathy (DR) Detection Techniques." Approaches and Applications of Deep Learning in Virtual Medical Care, edited by Noor Zaman, et al., IGI Global, 2022, pp. 52-80. https://doi.org/10.4018/978-1-7998-8929-8.ch003

APA

Das, S. & Majumder, S. (2022). Overview and Analysis of Present-Day Diabetic Retinopathy (DR) Detection Techniques. In N. Zaman, L. Gaur, & M. Humayun (Eds.), Approaches and Applications of Deep Learning in Virtual Medical Care (pp. 52-80). IGI Global. https://doi.org/10.4018/978-1-7998-8929-8.ch003

Chicago

Das, Smita, and Swanirbhar Majumder. "Overview and Analysis of Present-Day Diabetic Retinopathy (DR) Detection Techniques." In Approaches and Applications of Deep Learning in Virtual Medical Care, edited by Noor Zaman, Loveleen Gaur, and Mamoona Humayun, 52-80. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8929-8.ch003

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Abstract

Diabetic retinopathy (DR) detection techniques is a biometric modality that deserves systematic review and analysis of the connected algorithms for further improvement. The ophthalmologist uses retinal fundus images for the early detection of DR by segmenting the images. There are several segmentation algorithms reported as earlier. This chapter presents a comprehensive review of the methodology associated with retinal blood vessel extraction presented to date. The vessel segmentation techniques are divided into four main categories depending on their underlying methodology as pattern recognition, vessel tracking, model based, and hybrid approaches. A few of these methods are further classified into subsections. Finally, a comparative analysis of a few of the DR detection techniques will be presented here based on their merits, demerits, and other parameters like sensitivity, specificity, and accuracy and provide detailed information about its significance, present status, limitations, and future scope.

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