A novel approach for diabetic retinopathy screening using asymmetric deep learning features
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the
domain of computer vision. It is challenging due to structural complexity and a marginal …
domain of computer vision. It is challenging due to structural complexity and a marginal …
Deep Learning-based prediction of Diabetic Retinopathy using CLAHE and ESRGAN for Enhancement
Vision loss can be avoided if diabetic retinopathy (DR) is diagnosed and treated promptly.
The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a …
The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a …
Edldr: An ensemble deep learning technique for detection and classification of diabetic retinopathy
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 …
vessels of the eye. DR causes clotting, lesions or haemorrhage in the light-sensitive region …
[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: a systematic review
The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all
over the world. Diabetic eye illness is identified as one of the most common reasons for …
over the world. Diabetic eye illness is identified as one of the most common reasons for …
A comprehensive review of diabetic retinopathy detection and grading based on deep learning and metaheuristic optimization techniques
AM Dayana, WRS Emmanuel - Archives of Computational Methods in …, 2023 - Springer
Diabetic retinopathy (DR) is a microvascular disorder that causes retinal damage and
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …
A prospective study on diabetic retinopathy detection based on modify convolutional neural network using Fundus images at sindh institute of ophthalmology & visual …
A Bajwa, N Nosheen, KI Talpur, S Akram - Diagnostics, 2023 - mdpi.com
Diabetic Retinopathy (DR) is the most common complication that arises due to diabetes, and
it affects the retina. It is the leading cause of blindness globally, and early detection can …
it affects the retina. It is the leading cause of blindness globally, and early detection can …
Automated detection of pain levels using deep feature extraction from shutter blinds-based dynamic-sized horizontal patches with facial images
Pain intensity classification using facial images is a challenging problem in computer vision
research. This work proposed a patch and transfer learning-based model to classify various …
research. This work proposed a patch and transfer learning-based model to classify various …
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
Enhancement of diabetic retinopathy prognostication using deep learning, CLAHE, and ESRGAN
One of the primary causes of blindness in the diabetic population is diabetic retinopathy
(DR). Many people could have their sight saved if only DR were detected and treated in …
(DR). Many people could have their sight saved if only DR were detected and treated in …
Retinal image blood vessel classification using hybrid deep learning in cataract diseased fundus images
With recent advanced technologies, various automated diagnosis tools were developed to
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …