Over the past few decades, health care industries and medical practitioners faced a lot of
obstacles to diagnosing medical-related problems due to inadequate technology and …

Accurate and robust diagnosis of retinal diseases using OCT imaging is considered an
essential part for clinical utility. We propose a deep learning based, a fully automated …

An efficient automatic decision support system for detection of retinal disorders is important
and is the need of the hour. Optical Coherence Tomography (OCT) is the current imaging …

An optical coherence tomography images are used to visualize the retinal micro-architecture
and perform an easy scan of its abnormalities. In this paper, a coherent convolutional neural …

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

Vision impairment is increasing at an alarming rate. Diagnosis and classification of retinal
diseases is a significant challenge in ophthalmological applications. The study aims to …

Background The eyes are the most important part of the human body as these are directly
connected to the brain and help us perceive the imagery in daily life whereas, eye diseases …

Optical coherence tomography (OCT) is widely used to detect and classify retinal diseases.
However, OCT-image-based manual detection by ophthalmologists is prone to errors and …

We address a paramount problem domain in the analysis of Optical Coherence Tomography
(OCT) images: the detection of retinal disorder in retinal OCT images. The objective is to …

Among the most important systems in the body is the eyes. Although their small stature,
humans are unable to imagine existence without it. The human optic is safe against dust …