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 …

This study proposes a novel methodology for classifying ocular diseases using
convolutional neural networks (CNNs) and specialized loss functions. The proposed model …

Deep Learning (DL) plays a successful and influential role in medical imaging diagnosis,
image detection, and image classification. Diabetes is a significant public health concern …

According to multiple authoritative authorities, including the World Health Organization,
vision-related impairments and disorders are becoming a significant issue. According to a …

To prevent irreversible damage to one's eyesight, ocular diseases (ODs) need to be
recognized and treated immediately. Color fundus imaging (CFI) is a screening technology …

One biometric tool that offers better accuracy and lower cost than other biometric modalities
is fingerprint authentication. However, as fingerprints become more prevalent than other …

Ocular diseases pose significant challenges in timely diagnosis and effective treatment.
Deep learning has emerged as a promising technique in medical image analysis, offering …

An automated system for detecting ocular diseases with computer-aided tools is essential to
identify different eye disorders through fundus pictures. This is because diagnosing ocular …

Machine learning has been used in various industries and has proven to be a successful
technique. Machine learning algorithms are based on the data they have seen before, such …

Ophthalmic disorders represent a major global health problem leading to visual impairment
and even blindness if not detected and treated early. Deep learning is a popular approach …