Classification of primary angle closure spectrum with hierarchical cluster analysis.

Classification of primary angle closure spectrum with hierarchical cluster analysis.

PURPOSE:To classify subjects with primary angle closure into clusters based on features from anterior segment optical coherence tomography (ASOCT) imaging and to explore how these clusters correspond to disease subtypes, including primary angle closure suspect (PACS), primary angle closure glaucoma(...

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Bibliographic Details
Main Authors: Sasan Moghimi, Ali Torkashvand, Massood Mohammadi, Mehdi Yaseri, Luke J Saunders, Shan C Lin, Robert N Weinreb
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6056027?pdf=render

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http://europepmc.org/articles/PMC6056027?pdf=render

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