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Convolutional neural network for multi-class classification of diabetic eye disease
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 …
(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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
causing redness, irritation, swelling, and discharge. Recent research integrates deep …