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 …

Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network

N Gour, P Khanna - Biomedical signal processing and control, 2021 - Elsevier
Fundus imaging is a retinal image modality for capturing anatomical structures and
abnormalities in the human eye. Fundus images are the primary tool for observation and …

[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 …

Automatic detection of diabetic eye disease through deep learning using fundus images: a survey

R Sarki, K Ahmed, H Wang, Y Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …

A review of deep learning techniques for glaucoma detection

T Guergueb, MA Akhloufi - SN Computer Science, 2023 - Springer
Glaucoma is one of the major reasons for visual impairment all across the globe. The recent
advancements in machine learning techniques have greatly facilitated ophthalmologists in …

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 …

An effective and robust approach based on r-cnn+ lstm model and ncar feature selection for ophthalmological disease detection from fundus images

F Demir, B Taşcı - Journal of Personalized Medicine, 2021 - mdpi.com
Changes in and around anatomical structures such as blood vessels, optic disc, fovea, and
macula can lead to ophthalmological diseases such as diabetic retinopathy, glaucoma, age …