Research Articles of Altris Inc. Team
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 the classification of phantoms with various content of medium and scatterers.
M Kulmaganbetov, J Albon, N White, JE Morgan, Clinical and Translational Biophotonics, JTu3A. 23
- Evaluation of the potentials for optical coherence tomography (OCT) to detect early signs of retinal neurodegeneration
Among neuroretinal degenerations, glaucoma and age-related macular degeneration (AMD) have become the most frequent reasons for irreversible blindness globally. Among the causes of the elderly and senile dementia, Alzheimer’s disease (AD) has the leading position, the early ocular symptoms of which can potentially be a prognostic factor. The aim of this thesis was the early in vivo ligand-free detection of degenerative changes in the inner and outer retinal layers, which was possible using high-resolution optical coherence tomography (OCT) with the machine learning (ML) algorithms: support vector machine (SVM) and principal component analysis (PCA).
M Kulmaganbetov – 2021, Cardiff University