Analyzing Sub-Classifications of Glaucoma via SOM Based Clustering of Optic Nerve Images

Abstract

We present a data mining framework to cluster optic nerve images obtained by Confocal Scanning Laser Tomography (CSLT) in normal subjects and patients with glaucoma. We use self-organizing maps and expectation maximization methods to partition the data into clusters that provide insights into potential sub-classification of glaucoma based on morphological… (More)

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