1. Classification of Drusen Positions in Optical Coherence Tomography Data from Patients with Age-Related Macular Degeneration

    Classification of Drusen Positions in Optical Coherence Tomography Data from Patients with Age-Related Macular Degeneration

    Quantitative analysis of optical coherence tomography volumes is an important tool for both clinicians and researchers. Until now, most work has focused on segmentation of the intraretinal cell layers, but the segmentation of pathological datasets remains challenging. We propose the application of random forest to detect the locations of drusen in the retinal pigment epithelium. This is an important step for further analysis of optical coherence tomography data, for segmentation or otherwise. The presented combination of Bruch’s Membrane segmentation with subsequent sampling around the retinal pigment epithelium is a way to quickly compute discriminative features for classification. The proposed ...

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