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Texture analysis of OCT phantoms

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Abstract

We investigated texture analysis of optical coherence tomography (OCT) phantom images. Semi-automated classifier, based on principal component analysis (PCA) and support vector machines (SVM), enables classification of phantoms with various content of medium and scatterers.

© 2020 The Author(s)

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