We propose a framework for automated detection of dry age-related macular degeneration
(AMD) and diabetic macular edema (DME) from retina optical coherence tomography (OCT) …

This paper presents the retina-based disease diagnosis through deep learning-based
feature extraction method. This process helps in developing automated screening system …

Vision is paramount to humans to lead an active personal and professional life. The
prevalence of ocular diseases is rising, and diseases such as glaucoma, Diabetic …

Aging is the prime cause of age-related macular degeneration (ARMD). There are primarily
two types of ARMD:(i) dry, and (ii) wet. The dry ARMD is the common form of ARMD. It …

Machine learning has been used in many retinal image processing applications such as
optic disc segmentation. It assumes that the training and testing data sets have the same …

Abstract Three-dimensional (3D)(volumetric) diagnostic imaging techniques are
indispensable with respect to the diagnosis and management of many medical conditions …

Several ophthalmological and systemic diseases are manifested through pathological
changes in the properties and the distribution of the retinal blood vessels. The …

This paper concerns the diagnosis of schizophrenia using encephalographic signals and
introduces a new framework based on image processing technique. Time-frequency …

This paper concerns the diagnosis of schizophrenia using an electroencephalogram
signals, and introduces a new framework based on the brain emotional learning model that …

Automated Screening Method for Dry and Wet Age-Related Macular Degeneration (ARMD)
Using Pyramid of Histogram of Oriented Gradie Page 1 1 Automated Screening Method for Dry …