The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation
Open accessAbstract
Segmentation of anatomical and pathological structures in ophthalmic images is crucial for the diagnosis and study of ocular diseases. However, manual segmentation is often a time-consuming and subjective process. This paper presents an automatic approach for segmenting retinal layers in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming. Results show that this method accurately segments eight retinal layer boundaries in normal adult eyes more closely to an expert grader as compared to a second expert grader.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Threshold Selection Method from Gray-Level Histograms
Otsu, N. (1979) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1979.4310076 · Cited by 43,398
A note on two problems in connexion with graphs
Dijkstra, E. W. (1959) · Numerische Mathematik · doi:10.1007/bf01386390 · Cited by 24,043
Normalized cuts and image segmentation
Shi, J., & Malik, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868688 · Cited by 15,502
Huang, D., Swanson, E. A., Lin, C. P., Schuman, J. S., Stinson, W. G., Chang, W., Hee, M. R., Flotte, T., Gregory, K., Puliafito, C. A., et al. (1991) · Science · doi:10.1126/science.1957169 · Cited by 13,788
Floyd, R. W. (1962) · Communications of the ACM · doi:10.1145/367766.368168 · Cited by 3,998
Bellman, R. (1958) · Quarterly of Applied Mathematics · doi:10.1090/qam/102435 · Cited by 2,758
Stoer, J. (1999) · Springer-Lehrbuch · doi:10.1007/978-3-662-09021-3 · Cited by 2,059
Warshall, S. (1962) · Journal of the ACM · doi:10.1145/321105.321107 · Cited by 1,683
Kernel Regression for Image Processing and Reconstruction
Takeda, H., Farsiu, S., & Milanfar, P. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.888330 · Cited by 1,340
Self-citationGarvin, M. K., Abramoff, M. D., Wu, X., Russell, S. R., Burns, T. L., & Sonka, M. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2016958 · Cited by 626
Cited by
Chiu, S. J., Allingham, M. J., Mettu, P. S., Cousins, S. W., Izatt, J. A., & Farsiu, S. (2015) · Biomedical Optics Express · doi:10.1364/boe.6.001172 · Cited by 377
Self-citationRetinal layer segmentation of macular OCT images using boundary classification
Lang, A., Carass, A., Hauser, M., Sotirchos, E. S., Calabresi, P. A., Ying, H. S., & Prince, J. L. (2013) · Biomedical Optics Express · doi:10.1364/boe.4.001133 · Cited by 310
Christenbury, J. G., Folgar, F. A., O'Connell, R. V., Chiu, S. J., Farsiu, S., & Toth, C. A. (2013) · Ophthalmology · doi:10.1016/j.ophtha.2012.10.018 · Cited by 277
Self-citationStructured layer surface segmentation for retina OCT using fully convolutional regression networks
He, Y., Carass, A., Liu, Y., Jedynak, B. M., Solomon, S. D., Saidha, S., Calabresi, P. A., & Prince, J. L. (2021) · Medical Image Analysis · doi:10.1016/j.media.2020.101856 · Cited by 104
Metadata
- Authors
- Chiu, S. J., Li, X. T., Nicholas, P., Toth, C. A., Izatt, J. A., & Farsiu, S.
- Venue
- Optics Express
- Publisher
- Optica Publishing Group
- Published
- 2010-08-27
- Volume
- 18
- Issue
- 18
- Pages
- 19413
- ISSN
- 1094-4087 (ISSN-L)
- OpenAlex
- W2011237852
- Cited by
- 733
- References
- 16
- FWCI
- 15.67
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. https://app.cochat.ai/papers/10.1364/oe.18.019413
- The paper
- Chiu, S. J., Li, X. T., Nicholas, P., Toth, C. A., Izatt, J. A., & Farsiu, S. (2010). Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Optics Express. https://doi.org/10.1364/oe.18.019413
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.