As digital imaging and computing power increasingly develop, so too does the potential to
use these technologies in ophthalmology. Image processing, analysis and computer vision …

▪ Abstract The retinal circulation of the normal human retinal vasculature is statistically self-
similar and fractal. Studies from several groups present strong evidence that the fractal …

Is it possible to use convolutional neural networks pre-trained without any natural images to
assist natural image understanding? The paper proposes a novel concept, Formula-driven …

Purpose To investigate the impact of multiple en face image averaging on quantitative
measurements of the retinal microvasculature using optical coherence tomography …

Purpose: To study the qualitative and quantitative features of choroidal neovascular (NV)
membranes in age-related macular degeneration using optical coherence tomography …

Purpose: To evaluate a fully automated local fractal dimension method to quantify vessel
density and foveal avascular zone (FAZ) area in optical coherence tomography angiography …

Many natural objects, including most objects studied in pathology, have complex structural
characteristics and the complexity of their structures, for example the degree of branching of …

Patients with diabetes require annual screening for effective timing of sight-saving treatment.
However, the lack of screening and the shortage of ophthalmologists limit the ocular health …

OBJECTIVE: Fractals represent a type of derived geometric pattern that permits the
characterization of the branching pattern of retinal vessels. We examined a new …

In this paper, it is shown that vascular structures of the human retina represent geometrical
multifractals, characterized by a hierarchy of exponents rather then a single fractal …