The visualization and assessment of retinal microvasculature are important in the study,
diagnosis, monitoring, and guidance of treatment of ocular and systemic diseases. With the …

Many important eye diseases as well as systemic diseases manifest themselves in the
retina. While a number of other anatomical structures contribute to the process of vision, this …

We present a novel fully automated algorithm for the detection of retinal diseases via optical
coherence tomography (OCT) imaging. Our algorithm utilizes multiscale histograms of …

Artificial intelligence has the potential to revolutionize disease diagnosis, classification, and
identification. However, the implementation of clinical-decision support algorithms for …

We present a fully automatic algorithm to identify fluid-filled regions and seven retinal layers
on spectral domain optical coherence tomography images of eyes with diabetic macular …

Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …

Segmentation of anatomical and pathological structures in ophthalmic images is crucial for
the diagnosis and study of ocular diseases. However, manual segmentation is often a time …

Purpose.: To demonstrate the capability of SD-OCT to measure macular retinal ganglion cell–
inner plexiform layer (GCIPL) thickness and to assess its reproducibility in glaucomatous …

Optical coherence tomography (OCT) has proven to be an essential imaging modality for
ophthalmology and is proving to be very important in neurology. OCT enables high …

A novel automated boundary segmentation algorithm is proposed for fast and reliable
quantification of nine intra-retinal boundaries in optical coherence tomography (OCT) …