Classifying DME vs normal SD-OCT volumes: A review

Massich, J. and Rastgoo, M. and Lemaître, G. and Cheung, C.Y. and Wong, T.Y. and Sidibé, D. and Mériaudeau, F. (2016) Classifying DME vs normal SD-OCT volumes: A review. In: UNSPECIFIED.

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Abstract

This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification problem has valuable interest since early detection and treatment of DME play a major role to prevent eye adverse effects such as blindness. The main contribution of this article is to cover the lack of a public dataset and benchmark suited for classifying DME and normal SD-OCT volumes, providing our own implementation of the most relevant methodologies in the literature. Subsequently, 6 different methods were implemented and evaluated using this common benchmark and dataset to produce reliable comparison. © 2016 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 10; Conference of 23rd International Conference on Pattern Recognition, ICPR 2016 ; Conference Date: 4 December 2016 Through 8 December 2016; Conference Code:127420
Uncontrolled Keywords: Benchmarking; Classification (of information); Learning systems; Strain measurement, Adverse effect; Automatic classification; Macular edema; Public dataset; Spectral domain OCT, Pattern recognition
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:19
Last Modified: 09 Nov 2023 16:19
URI: https://khub.utp.edu.my/scholars/id/eprint/7334

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