ArticleIEEE transactions on medical imaging2012
Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search-graph-cut.
Article in IEEE transactions on medical imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.
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Who cites it
65 citing papers in PubMed, 1 synthesis or guideline pooled it, 197 citations in OpenAlex.
- 3D Segmentation Algorithms for Computerized Tomographic Imaging: a Systematic Literature Review.Journal of digital imaging · 2018Pooled it
- Widefield OCT angiography.Progress in retinal and eye research · 2025Review
- Recent advances in the application of artificial intelligence in age-related macular degeneration.BMJ open ophthalmology · 2024Review
- Automatic segmentation of layers in chorio-retinal complex using Graph-based method for ultra-speed 1.7 MHz wide field swept source FDML optical coherence tomography.Medical & biological engineering & computing · 2024Article
- Early inner plexiform layer thinning and retinal nerve fiber layer thickening in excitotoxic retinal injury using deep learning-assisted optical coherence tomography.Acta neuropathologica communications · 2024Article
- Annotation-efficient learning for OCT segmentation.Biomedical optics express · 2023Article
- A Review of Machine Learning Algorithms for Retinal Cyst Segmentation on Optical Coherence Tomography.Sensors (Basel, Switzerland) · 2023Review
- Cyst identification in retinal optical coherence tomography images using hidden Markov model.Scientific reports · 2023Article
- Volumetric fluid analysis of fixed monthly anti-VEGF treatment in patients with neovascular age-related macular degeneration.International journal of ophthalmology · 2023Article
- Federated learning for diagnosis of age-related macular degeneration.Frontiers in medicine · 2023Article
- Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes.Journal of digital imaging · 2022Article
- The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey.Sensors (Basel, Switzerland) · 2022Review
- Directional analysis of intensity changes for determining the existence of cyst in optical coherence tomography images.Scientific reports · 2022Article
- Correlation of Volume of Macular Edema with Retinal Tomography Features in Diabetic Retinopathy Eyes.Journal of personalized medicine · 2021Article
- RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network.Journal of digital imaging · 2021Article
- Choroid Segmentation of Retinal OCT Images Based on CNN Classifier andComputational and mathematical methods in medicine · 2021Article
- Lightweight Learning-Based Automatic Segmentation of Subretinal Blebs on Microscope-Integrated Optical Coherence Tomography Images.American journal of ophthalmology · 2021Article
- Approaches to quantify optical coherence tomography angiography metrics.Annals of translational medicine · 2020Review
- 3D Shape Modeling and Analysis of Retinal Microvasculature in OCT-Angiography Images.IEEE transactions on medical imaging · 2020Article
- Focal alteration of the intraretinal layers in neurodegenerative disorders.Annals of eye science · 2020Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
An automated method is reported for segmenting 3-D fluid-associated abnormalities in the retina, so-called symptomatic exudate-associated derangements (SEAD), from 3-D OCT retinal images of subjects suffering from exudative age-related macular degeneration. In the first stage of a two-stage approach, retinal layers are segmented, candidate SEAD regions identified, and the retinal OCT image is flattened using a candidate-SEAD aware approach. In the second stage, a probability constrained combined graph search-graph cut method refines the candidate SEADs by integrating the candidate volumes into the graph cut cost function as probability constraints. The proposed method was evaluated on 15 spectral domain OCT images from 15 subjects undergoing intravitreal anti-VEGF injection treatment. Leave-one-out evaluation resulted in a true positive volume fraction (TPVF), false positive volume fraction (FPVF) and relative volume difference ratio (RVDR) of 86.5%, 1.7%, and 12.8%, respectively. The new graph cut-graph search method significantly outperformed both the traditional graph cut and traditional graph search approaches (p < 0.01, p < 0.04) and has the potential to improve clinical management of patients with choroidal neovascularization due to exudative age-related macular degeneration.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.