Publications [#326838] of Sina Farsiu

Papers Published

1. Fang, L; Cunefare, D; Wang, C; Guymer, RH; Li, S; Farsiu, S, Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search., Biomedical optics express, vol. 8 no. 5 (May, 2017), pp. 2732-2744 [doi]
   (last updated on 2024/12/31)

   Abstract:
   We present a novel framework combining convolutional neural networks (CNN) and graph search methods (termed as CNN-GS) for the automatic segmentation of nine layer boundaries on retinal optical coherence tomography (OCT) images. CNN-GS first utilizes a CNN to extract features of specific retinal layer boundaries and train a corresponding classifier to delineate a pilot estimate of the eight layers. Next, a graph search method uses the probability maps created from the CNN to find the final boundaries. We validated our proposed method on 60 volumes (2915 B-scans) from 20 human eyes with non-exudative age-related macular degeneration (AMD), which attested to effectiveness of our proposed technique.