Glaucoma is the second leading cause of loss of vision in the world. Examining the head of
optic nerve (cup‐to‐disc ratio) is very important for diagnosing glaucoma and for patient …

Diabetic Retinopathy (DR) represents a highly-prevalent complication of diabetes in which
individuals suffer from damage to the blood vessels in the retina. The disease manifests …

Under the framework of computer-aided diagnosis, this paper presents an accurate and
efficient optic disc (OD) detection and segmentation technique. A circular transformation is …

The inspection of retinal fundus pictures taken by a fundus camera is one of the key
procedures for diagnosing a wide range of diseases like diabetic retinopathy, hypertension …

This paper presents early-automated glaucoma detection algorithm by extracting early
diagnostic parameters, namely, parapapillary atrophy and Cup to Disc ratio using DIP …

An approach to classifying retinal images using a histogram based representation is
described. More specifically, a two stage Case Based Reasoning (CBR) approach is …

Precise localisation of an optic disk (OD) in the retinal images is one of the most important
problems in the ophthalmic image processing. Although a considerable progress has been …

Generating ensembles from multiple individual classifiers is a popular approach to raise the
accuracy of the decision. As a rule for decision making, majority voting is a usually applied …

The processing and analysis of retinal fundus images is widely studied because many
ocular fundus diseases such as diabetic retinopathy, hypertensive retinopathy, etc., can be …

The advanced development of mobile phone and lens technology has made retinal imaging
more convenient than ever before. In the digital health era, mobile phone fundus …