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INTEGRATIVE DETECTION OF RETINAL DETACHMENT WITH ALEXNET AND HEAT MAPS VISUALIZATION

YOUNIS BASHAR YOUNIS Master Student at – Northern Technical University, Technical Engineering College of Mosul, Department of Medical Instrumentation Technology Engineering, Mosul, Iraq.
FADWA AL AZZO Northern Technical University, Technical Engineering College of Mosul, Engineering Department of Cybersecurity Technologies and Cloud Computing, Mosul, Iraq

Abstract

The eye is a vital organ required for everyday human activity; it is a complex organ that requires multiple essential elements to operate. The eyes are the primary sensory organ for vision, allowing people to see their environment and process information. One element of the eye that is essential to vision is the retina. As such, the retina is considered an important component of the eye and plays a significant role in distinguishing between various objects [9]. The retinal layers detach from their original place due to a serious medical condition called retinal detachment (RD). It's a severe visual issue that requires immediate attention to prevent permanent eyesight loss. All ages are increasingly experiencing retinal-based disorders, which impair vision clarity by causing fuzzy images and even total blindness [15]. RD can happen through a variety of mechanisms, whatever the mechanism, the accumulation of fluid under the retina is a common feature of all kinds of RD [5]. RD diagnosis made early and accurately is essential for prompt intervention and improved patient results [10]. Even though most instances are asymptomatic in the course of the initial tiers of the disorder, its early detection and treatment can help to postpone or avoid a terrible evolution [17]. When a young patient provides with abrupt unilateral imaginative and prescient loss, there are numerous in all likelihood reasons, such as optic neuropathy or retinopathy [12].It is important to remember that there are several RD types based on the reasons or the degree of detachment. Diabetic macular edema (DME) is marked by fluid

Keywords

Retinal Detachment, AlexNet Convolutional Neural Network, Grad-CAM Heatmap Visualization, Optical Coherence Tomography (OCT), Deep Learning in Ophthalmology.,