Recent advancements in artificial intelligence (AI) herald transformative potentials for
reshaping glaucoma clinical management, improving screening efficacy, sharpening …

Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has
propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical …

Aim: To design an automated glaucoma detection system for early detection of glaucoma
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …

Glaucomatous optic neuropathy is the preeminent cause of incurable vision impairment and
blindness across the world. Manual interpretation of the pathological structures in fundus …

Glaucoma is the second leading cause of blindness, resulting in damage of the optic nerve.
Ophthalmologists perform diagnosis by a retinal inspection of widened pupils. Machine …

Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …

Pada penelitian ini dilakukan perancangan arsitektur Convolutional Neural Network (CNN)
yang terdiri dari 5 layer konvolusi dan 1-fully connected layer untuk mengklasifikasikan citra …

This review paper presents a thorough analysis of 99 recent studies focused on applying
deep learning techniques for the automated diagnosis of various eye diseases, including …

In ophthalmology, the registration problem consists of finding a geometric transformation that
aligns a pair of images, supporting eye-care specialists who need to record and compare …

Efficient classification of glaucoma from fundus images remains crucial and a challenging
task as the retinal anatomical structure is so complex in nature with varying contrast and …