This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms.
For reasons of space and consistency, we concentrate on the validation of algorithms …

Abstract Background and Objectives Pathological myopia (PM) is the seventh leading cause
of blindness, with a reported global prevalence up to 3%. Early and automated PM detection …

Advanced image processing and mathematical modeling techniques are increasingly being
used for the early diagnosis of eye diseases. A comprehensive review of the field, Human …

Highly myopic optic nerve head (ONH) abnormalities encompass a series of complications
resulting from the stretching of papillary and peripapillary structures during significant axial …

The human eye is one of the most sophisticated organs, with perfectly interrelated retina,
pupil, iris cornea, lens, and optic nerve. Automatic retinal image analysis is emerging as an …

Color fundus photographs are the most common type of image used for automatic diagnosis
of retinal diseases and abnormalities. As all color photographs, these images contain …

Purpose.: To evaluate the validity of an automatic computer-aided diagnosis (CAD) system
for detection of retinal nerve fiber layer (RNFL) defects on fundus photographs of …

We describe a computer-aided measuring tool, named parapapillary atrophy and optic disc
region assessment (PANDORA), for automated detection and quantification of both the …

The optic disc (OD) is one of the important anatomic structures on the retina, the changes of
which shape and area may indicate disease processes, thus needs computerized …

Forecasting Parapapillary atrophy (PPA), ie, a symptom related to most irreversible eye
diseases, provides an alarm for implementing an intervention to slow down the disease …