1. A system that facilitates automated diagnosis of diseases, comprising: an alignment component that aligns a 2-dimensional (2D) slice of an optical coherence tomography (OCT) image of a retina to produce an aligned slice, wherein the aligned slice comprises an approximately horizontal image of the retina; a feature construction component that determines at least one global representation and at least one local descriptor based at least in part on the aligned image, wherein the at least one local descriptor comprises a local binary pattern (LBP)-based feature, wherein the at least one global representation comprises a (multi-scale) spatial division, wherein the (multi-scale) spatial division is a multi-scale spatial pyramid (MSSP); a classification component that comprises one or more classifiers, wherein each classifier classifies the aligned image into one of a plurality of categories associated with at least one ocular pathology; and a processor configured for executing instructions associated with at least one of the alignment component, the feature construction component, or the classification component.