Current guidelines recommend that individuals with diabetes receive yearly eye exams for
detection of referable diabetic retinopathy (DR), one of the leading causes of new-onset …

Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

Detecting multiple ocular diseases in fundus images is crucial in ophthalmic diagnosis. This
study introduces the Fundus-DeepNet system, an automated multi-label deep learning …

Diabetic Retinopathy (DR) is the most common cause of eyesight loss that affects millions of
people worldwide. Although there are recognized screening procedures for detecting the …

Artificial intelligence (AI) has received great attention since the concept was proposed, and it
has developed rapidly in recent years with applications in many fields. Meanwhile, newer …

Diabetic retinopathy (DR) is a serious disease that may cause vision loss unawares without
any alarm. Therefore, it is essential to scan and audit the DR progress continuously. In this …

Multi-label classification (MLC) is considered an essential research subject in the computer
vision field, principally in medical image analysis. For this merit, we derive benefits from …

Abstract Internet of Health Things (IoHT) have allowed connected health paradigm
ubiquitous. 5 G supported healthcare vertical allows IoHT to offer connected health …

Designing computer-aided diagnosis (CAD) systems that can automatically detect ocular
diseases (ODs) has become an active research field in the health domain. Although the …

The analysis of the vascular tree is a fundamental part of the clinical assessment of retinal
images. The diversity of blood vessel calibers and curvatures, as well as the ocular vascular …