[HTML][HTML] Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

N Tsiknakis, D Theodoropoulos, G Manikis… - Computers in biology …, 2021 - Elsevier
Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …

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 …

A deep learning ensemble approach for diabetic retinopathy detection

S Qummar, FG Khan, S Shah, A Khan… - Ieee …, 2019 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is an ophthalmic disease that damages retinal blood vessels. DR
causes impaired vision and may even lead to blindness if it is not diagnosed in early stages …

[PDF][PDF] Design an early detection and classification for diabetic retinopathy by deep feature extraction based convolution neural network

A Sungheetha, R Sharma - … of Trends in Computer Science and …, 2021 - researchgate.net
Early identification of diabetics using retinopathy images is still a difficult challenge. Many
illness diagnosis techniques are accomplished by using the blood vessels present in fundus …

Diabetic retinopathy detection using VGG-NIN a deep learning architecture

Z Khan, FG Khan, A Khan, ZU Rehman, S Shah… - IEEE …, 2021 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a disease that damages retinal blood vessels and leads to
blindness. Usually, colored fundus shots are used to diagnose this irreversible disease. The …

Diabetic retinopathy diagnosis using multichannel generative adversarial network with semisupervision

S Wang, X Wang, Y Hu, Y Shen, Z Yang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is one of the major causes of blindness. It is of great significance
to apply deep-learning techniques for DR recognition. However, deep-learning algorithms …

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 …

Edldr: An ensemble deep learning technique for detection and classification of diabetic retinopathy

SS Mondal, N Mandal, KK Singh, A Singh, I Izonin - Diagnostics, 2022 - mdpi.com
Diabetic retinopathy (DR) is an ophthalmological disease that causes damage in the blood
vessels of the eye. DR causes clotting, lesions or haemorrhage in the light-sensitive region …

Transfer learning via deep neural networks for implant fixture system classification using periapical radiographs

JE Kim, NE Nam, JS Shim, YH Jung, BH Cho… - Journal of clinical …, 2020 - mdpi.com
In the absence of accurate medical records, it is critical to correctly classify implant fixture
systems using periapical radiographs to provide accurate diagnoses and treatments to …

A novel approach of diabetic retinopathy early detection based on multifractal geometry analysis for OCTA macular images using support vector machine

MM Abdelsalam, MA Zahran - IEEE access, 2021 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a complication of diabetes that affects the eyes. It is caused by
blood vessel damage of the light-sensitive tissue at the back of the retina …