Three-Dimensional Spectral-Domain Optical Coherence Tomography Data Analysis for Glaucoma Detection

PURPOSE: To develop a new three-dimensional (3D) spectral-domain optical coherence tomography (SD-OCT) data analysis method using a machine learning technique based on variable-size super pixel segmentation that efficiently utilizes full 3D dataset to improve the discrimination between early glaucom...

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Bibliografski detalji
Glavni autori: Xu, Juan, Ishikawa, Hiroshi, Wollstein, Gadi, Bilonick, Richard A., Folio, Lindsey S., Nadler, Zach, Kagemann, Larry, Schuman, Joel S.
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2013
Teme:
Research Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3569462/
https://ncbi.nlm.nih.gov/pubmed/23408988
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0055476
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