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Article Source: Glaucomatous Patterns in Frequency Doubling Technology (FDT) Perimetry Data Identified by Unsupervised Machine Learning Classifiers
Bowd C, Weinreb RN, Balasubramanian M, Lee I, Jang G, et al. (2014) Glaucomatous Patterns in Frequency Doubling Technology (FDT) Perimetry Data Identified by Unsupervised Machine Learning Classifiers. PLOS ONE 9(1): e85941. https://doi.org/10.1371/journal.pone.0085941

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