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- W2884829562 abstract "In this study, we introduce two hybrid artificial neural network models with particle swarm optimization algorithm to diagnose diabetic retinopathy based on the Video-Oculography signals. The hybrid models use Discrete Wavelet Transform and Hilbert-Huang Transform separately to extract features from the signals. The classification performance of both models is analyzed comparatively. We show that the model based on Hilbert–Huang Transform exhibits better classification performance than the model based on the Discrete Wavelet Transform." @default.
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- W2884829562 date "2018-09-01" @default.
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- W2884829562 title "Impact of hybrid neural network on the early diagnosis of diabetic retinopathy disease from video-oculography signals" @default.
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- W2884829562 doi "https://doi.org/10.1016/j.chaos.2018.06.034" @default.
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