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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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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2013
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| 主題: | |
| オンライン･アクセス: | 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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