Convolutional neural network for multi-class classification of diabetic eye disease

R Sarki, K Ahmed, H Wang, Y Zhang… - … Transactions on Scalable …, 2021 - vuir.vu.edu.au
Prompt examination increases the chances of effective treatment of Diabetic Eye Disease
(DED) and reduces the likelihood of permanent deterioration of vision. A key tool commonly …

Automated detection of mild and multi-class diabetic eye diseases using deep learning

R Sarki, K Ahmed, H Wang, Y Zhang - Health Information Science and …, 2020 - Springer
Diabetic eye disease is a collection of ocular problems that affect patients with diabetes.
Thus, timely screening enhances the chances of timely treatment and prevents permanent …

Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review

KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …

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

V Mayya, SK S, 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 …

Retinal disease prediction through blood vessel segmentation and classification using ensemble-based deep learning approaches

KS Kumar, NP Singh - Neural Computing and Applications, 2023 - Springer
Automatic detection of retinal diseases is found to be more challenging and gaining
considerable attention in the recent years. The visual impairments are emerging in different …

Non-local feature search network for building and road segmentation of remote sensing image

C Ding, L Weng, M **a, H Lin - ISPRS International Journal of Geo …, 2021 - mdpi.com
Building and road extraction from remote sensing images is of great significance to urban
planning. At present, most of building and road extraction models adopt deep learning …

[SÁCH][B] Eye tracking and visual analytics

M Burch - 2022 - taylorfrancis.com
Visualization and visual analytics are powerful concepts for exploring data from various
application domains. The endless number of possible parameters and the many ways to …

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

R Sarki - 2021 - vuir.vu.edu.au
Diabetes is a life-threatening disease that affects various human body organs, including eye
retina. Advanced Diabetic Eye disease (DED) leads to permanent vision loss; thus, early …

An Efficient System for Identification of Eye Disease in Fundus Images using a Deep Transfer Learning-based Pre-trained Model

H Sharma, J Wasim, P Sharma - Engineering, Technology & Applied …, 2024 - etasr.com
Ophthalmologists rely heavily on retinal fundus imaging to diagnose retinal diseases. Early
detection can enhance the likelihood of a cure and also prevent blindness. Retinal fundus …

Conjunctivitis Eye Detection using Deep Learning

MS Vengurlekar, MT Nadaf… - … on Electronics and …, 2024 - ieeexplore.ieee.org
Conjunctivitis, or pink eye, is an inflammation of the eye's thin, transparent membrane,
causing redness, irritation, swelling, and discharge. Recent research integrates deep …