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Fig. 1 | BMC Medical Imaging

Fig. 1

From: Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm

Fig. 1

Steps of the proposed automated method. After denoising the original image (a) by non-local means denoising algorithm (b), the retinal area is localized using Gabor filters (c). A search strategy is used to perform the initial prediction of the IPL and OPL layers (d). Then dilation and erosion are performed in order to remove undesirable areas and improve the predicted layers (e). Finally, the boundaries are detected using an SVR-based model (f)

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