ArticleJournal of biomedical optics2016
Length-adaptive graph search for automatic segmentation of pathological features in optical coherence tomography images.
Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Longitudinal Higher-Order OCT Assessment of Quantitative Fluid Dynamics and the Total Retinal Fluid Index in Neovascular AMD.Translational vision science & technology · 2021Trial
- Deep learning network with differentiable dynamic programming for retina OCT surface segmentation.Biomedical optics express · 2023Article
- Choroid Segmentation of Retinal OCT Images Based on CNN Classifier andComputational and mathematical methods in medicine · 2021Article
- Macular Hole Detection Using a New Hybrid Method: Using Multilevel Thresholding and Derivation on Optical Coherence Tomographic Images.Computational intelligence and neuroscience · 2021Article
- Multi-phase level set algorithm based on fully convolutional networks (FCN-MLS) for retinal layer segmentation in SD-OCT images with central serous chorioretinopathy (CSC).Biomedical optics express · 2019Article
- Active contour method for ILM segmentation in ONH volume scans in retinal OCT.Biomedical optics express · 2018Article
- Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography.IEEE transactions on medical imaging · 2018Article
- Effect of patch size and network architecture on a convolutional neural network approach for automatic segmentation of OCT retinal layers.Biomedical optics express · 2018Article
- Real-time corneal segmentation and 3D needle tracking in intrasurgical OCT.Biomedical optics express · 2018Article
- Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search.Biomedical optics express · 2017Article
- Automatic and robust segmentation of endoscopic OCT images and optical staining.Biomedical optics express · 2017Article
- Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images.IEEE transactions on medical imaging · 2017Article
- Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes.Biomedical optics express · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
We introduce a metric in graph search and demonstrate its application for segmenting retinal optical coherence tomography (OCT) images of macular pathology. Our proposed “adjusted mean arc length” (AMAL) metric is an adaptation of the lowest mean arc length search technique for automated OCT segmentation. We compare this method to Dijkstra’s shortest path algorithm, which we utilized previously in our popular graph theory and dynamic programming segmentation technique. As an illustrative example, we show that AMAL-based length-adaptive segmentation outperforms the shortest path in delineating the retina/vitreous boundary of patients with full-thickness macular holes when compared with expert manual grading.
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Registered trials
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