Texture analysis of OCT phantoms

• DOI: 10.1364/translational.2020.jtu3a.23
• Publication Date: 2020-05-19T18:47:57Z
• Authors: M. Kulmaganbetov; Julie Albon; Nick White; James E Morgan
• Keywords: 0103 physical sciences; 01 natural sciences

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.