Optical coherence tomography image segmentation

New second order Mumford–Shah model based on Γ-convergence approximation for image processing

“…It has been widely used for solving the L1-based variational models [11,19,20,[23][24][25]29,31,32]. The algorithm splits the original minimisation problem into several subproblems through introducing some auxiliary variables such that each subproblem can be solved quickly and easily.…”

Automatic Segmentation of Macular Holes in Optical Coherence Tomography Images: A review

“…Authors Year Preprocessing Segmentation Classification Nasrulloh et al [11] 2018 Yes Yes No Keller et al [26] 2016 Yes Yes No Miri et al [96] 2016 Yes Yes No Zhang et al [5] 2015 Yes Yes No Xu et al [27] 2013 Yes Yes No Liu et al [19] 2011 Yes Yes Yes Duan et al [43] 2017 Yes Yes No Sui et al [28] 2017 [106] 2017 Yes Yes No Athira et al [107] 2018 Yes Yes No Gopinath et al [108] 2017 No Yes No Dodo et al [109] 2019 Yes Yes No Duan et al [110] 2015 Yes Yes No Lang et al [111] 2017 Yes Yes No Niu et al [112] 2014 Yes Yes No Rossant et al [113] 2015 Yes Yes No Tian et al [114] 2015 Yes Yes No Huang et al [80] 2019 No Yes Yes Nath et al [82] 2018 Yes Yes Yes Hassan and Hassan [81] 2019 Yes Yes Yes Hassan et al [1] 2016 Yes Yes Yes Fang et al [115] 2017 Yes Yes Yes the B-scans [93,94]. The OCTID was the only publicly available database found with only cases of macular holes pathology [95].…”

“…The mean deviation for all interfaces were of 1.9 and 8.5 μm. Duan [110] created a technique to segment retinal layers using Region Growing method. Just as in Nath [82], nothing about the database was mencioned.…”

A Study on Speckle Noise Removal and Segmentation of Retinal Layers in OCT Image Analysis

“…The output obtained is shown in Figure 12. [16] In this paper the authors have proposed a method that is based on a coarse-to-fine approach to segmentation. It includes different stages.…”