Cancer is one of the leading significant causes of illness and chronic disease worldwide.
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …

Advancements in computational techniques have transformed glaucoma research, providing
a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets …

The progress of artificial intelligence algorithms in digital image processing and automatic
diagnosis studies of the eye disease glaucoma has been growing and presenting essential …

Purpose Glaucoma is an eye disease that can result in perpetual eye vision loss if not
perceived and treated in time. Therefore, an accurate and efficient automated method has …

Objectives: This study aimed to use deep learning to identify glaucoma and normal eyes in
groups with high myopia using fundus photographs. Methods: Patients who visited Tri …

Glaucoma, a multifaceted eye condition, poses a high risk of vision impairment. Initially, most
automated approaches segment the primary system and assess the clinical measurements …

Glaucoma poses a significant threat to public health worldwide, as it can result in irreversible
vision loss. Timely identification is vital for halting the progression of visual field …

Background: Optic nerve head (ONH) interpretation is a glaucoma screening method which
may be influenced by criteria variability. Laguna ONhE software is a low-cost and non …

Glaucoma is one of the primary causes of vision loss around the world, necessitating
accurate and efficient detection methods. Traditional manual detection approaches have …

The main objective of this research is to explore and predict the potentiality of the image
analysis model for early detection and diagnosis of glaucoma for assessing ocular …