Retinal disease detection using deep learning techniques: a comprehensive review

S Muchuchuti, S Viriri - Journal of Imaging, 2023 - mdpi.com
Millions of people are affected by retinal abnormalities worldwide. Early detection and
treatment of these abnormalities could arrest further progression, saving multitudes from …

Analysis of deep learning techniques for prediction of eye diseases: A systematic review

A Bali, V Mansotra - Archives of Computational Methods in Engineering, 2024 - Springer
The prediction and early diagnosis of eye diseases are critical for effective treatment and
prevention of vision loss. The identification of eye diseases has recently been the subject of …

[HTML][HTML] Fundus-deepnet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images

S Al-Fahdawi, AS Al-Waisy, DQ Zeebaree, R Qahwaji… - Information …, 2024 - Elsevier
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 detection from fundus images of the eye using hybrid deep learning features

MM Butt, DNFA Iskandar, SE Abdelhamid, G Latif… - Diagnostics, 2022 - mdpi.com
Diabetic Retinopathy (DR) is a medical condition present in patients suffering from long-term
diabetes. If a diagnosis is not carried out at an early stage, it can lead to vision impairment …

Combining convolutional neural networks and self-attention for fundus diseases identification

K Wang, C Xu, G Li, Y Zhang, Y Zheng, C Sun - Scientific Reports, 2023 - nature.com
Early detection of lesions is of great significance for treating fundus diseases. Fundus
photography is an effective and convenient screening technique by which common fundus …

Multi-label retinal disease classification using transformers

MA Rodríguez, H AlMarzouqi… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Early detection of retinal diseases is one of the most important means of preventing partial or
permanent blindness in patients. In this research, a novel multi-label classification system is …

Diabetic retinopathy detection through convolutional neural networks with synaptic metaplasticity

V Vives-Boix, D Ruiz-Fernández - Computer Methods and Programs in …, 2021 - Elsevier
Background and objectives: Diabetic retinopathy is a type of diabetes that causes vascular
changes that can lead to blindness. The ravages of this disease cannot be reversed, so …

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images

V Mayya, U Kulkarni, DK Surya, UR Acharya - Applied Intelligence, 2023 - Springer
Abstract Chronic Ocular Diseases (COD) such as myopia, diabetic retinopathy, age-related
macular degeneration, glaucoma, and cataract can affect the eye and may even lead to …

Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset

A Bhati, N Gour, P Khanna, A Ojha - Computers in Biology and Medicine, 2023 - Elsevier
It is feasible to recognize the presence and seriousness of eye disease by investigating the
progressions in retinal biological structures. Fundus examination is a diagnostic procedure …

Multi-label classification of fundus images with graph convolutional network and LightGBM

K Sun, M He, Y Xu, Q Wu, Z He, W Li, H Liu… - Computers in Biology and …, 2022 - Elsevier
Early detection and treatment of retinal disorders are critical for avoiding irreversible visual
impairment. Given that patients in the clinical setting may have various types of retinal …