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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Detalles Bibliográficos
Autores principales: Xu, Juan, Ishikawa, Hiroshi, Wollstein, Gadi, Bilonick, Richard A., Folio, Lindsey S., Nadler, Zach, Kagemann, Larry, Schuman, Joel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3569462/
https://www.ncbi.nlm.nih.gov/pubmed/23408988
http://dx.doi.org/10.1371/journal.pone.0055476

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3569462/
https://www.ncbi.nlm.nih.gov/pubmed/23408988
http://dx.doi.org/10.1371/journal.pone.0055476

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