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Cited by 310

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Retinal layer segmentation of macular OCT images using boundary classification

Open access
Lang, Andrew, Carass, Aaron, Hauser, Matthew, Sotirchos, Elias S., Calabresi, Peter A., Ying, Howard S., Prince, Jerry L.·2013·Biomedical Optics Express

Abstract

Optical coherence tomography (OCT) has proven to be an essential imaging modality for ophthalmology and is proving to be very important in neurology. OCT enables high resolution imaging of the retina, both at the optic nerve head and the macula. Macular retinal layer thicknesses provide useful diagnostic information and have been shown to correlate well with measures of disease severity in several diseases. Since manual segmentation of these layers is time consuming and prone to bias, automatic segmentation methods are critical for full utilization of this technology. In this work, we build a random forest classifier to segment eight retinal layers in macular cube images acquired by OCT. The random forest classifier learns the boundary pixels between layers, producing an accurate probability map for each boundary, which is then processed to finalize the boundaries. Using this algorithm, we can accurately segment the entire retina contained in the macular cube to an accuracy of at least 4.3 microns for any of the nine boundaries. Experiments were carried out on both healthy and multiple sclerosis subjects, with no difference in the accuracy of our algorithm found between the groups.

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Metadata

Authors
Lang, A., Carass, A., Hauser, M., Sotirchos, E. S., Calabresi, P. A., Ying, H. S., & Prince, J. L.
Venue
Biomedical Optics Express
Published
2013-06-14
Volume
4
Issue
7
Pages
1133
ISSN
2156-7085 (ISSN-L)
OpenAlex
W2038850290
Cited by
310
References
38
FWCI
11.88
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Retinal layer segmentation of macular OCT images using boundary classification. https://app.cochat.ai/papers/10.1364/boe.4.001133
The paper
Lang, A., Carass, A., Hauser, M., Sotirchos, E. S., Calabresi, P. A., Ying, H. S., & Prince, J. L. (2013). Retinal layer segmentation of macular OCT images using boundary classification. Biomedical Optics Express. https://doi.org/10.1364/boe.4.001133

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