AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review

NN El-Den, M Elsharkawy, I Saleh, M Ghazal… - Artificial Intelligence …, 2024‏ - Springer
This paper explores the advancements and achievements of artificial intelligence (AI) in
computer vision (CV), particularly in the context of diagnosing and grading age-related …

Explainable AI-based Approach for Age-Related Macular Degeneration (AMD) Detection via Fundus Imaging

A Osa-Sanchez, HM Balaha, A Mahmoud… - IEEE …, 2024‏ - ieeexplore.ieee.org
Age-related macular degeneration (AMD) is a leading cause of vision loss in older people
and is characterized by subtle retinal changes that make early identification difficult …

HRS-Net: A Hybrid Multi-Scale Network Model Based on Convolution and Transformers for Multi-Class Retinal Disease Classification

H Yang, L Chen, J Cao, J Wang - IEEE Access, 2024‏ - ieeexplore.ieee.org
Optical coherence tomography (OCT) is an important basis for retinal diagnosis. Traditional
OCT image analysis methods not only require a lot of manual operation and time, but also …

Eye Diseases Multiclass Classification Using Convolutional Vision Transformer

AG Tuwan, M Iskandar, AY Zakiyyah, KA Minor - Eye, 2025‏ - techrxiv.org
Eye diseases are a significant global health concern, affecting approximately a quarter of the
world's population. Half of these cases are preventable and can be addressed if discovered …

A Cascading Approach with Vision Transformers for Age-Related Macular Degeneration Diagnosis and Explainability

A Osa-Sanchez, HM Balaha, M Ali… - … Conference on Pattern …, 2024‏ - Springer
Age-related macular degeneration (AMD) progressively damages the macula, the central
area of the retina crucial for sharp vision. While early and intermediate stages may be …

Toward advanced deep learning techniques for medical Image analysis

A Laouarem - 2024‏ - dspace.univ-setif.dz
Deep learning (DL) has revolutionized medical diagnosis by enabling the analysis of
diverse data modalities, particularly medical images, from a wide range of sources. This …