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Deep learning in automatic diabetic retinopathy detection and grading systems: a comprehensive survey and comparison of methods
Diabetic Retinopathy is one of the leading global causes of vision impairment and blindness
in humans. It has seen a rise in prevalence, necessitating the development of advanced …
in humans. It has seen a rise in prevalence, necessitating the development of advanced …
An accurate unsupervised extraction of retinal vasculature using curvelet transform and classical morphological operators
F Ghislain, ST Beaudelaire, T Daniel - Computers in Biology and Medicine, 2024 - Elsevier
Background Many ophthalmic disorders such as diabetic retinopathy and hypertension can
be early diagnosed by analyzing changes related to the vascular structure of the retina …
be early diagnosed by analyzing changes related to the vascular structure of the retina …
Semantic-oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images
Diabetic retinopathy (DR) is a serious ocular condition that requires effective monitoring and
treatment by ophthalmologists. However, constructing a reliable DR grading model remains …
treatment by ophthalmologists. However, constructing a reliable DR grading model remains …
Detection of exudates from retinal images for non-proliferative diabetic retinopathy detection using deep learning model
Diabetes is considered to be the foundation of a slew of other health issues and late
consequences, according to medical experts. The rise in diabetes-related illnesses has …
consequences, according to medical experts. The rise in diabetes-related illnesses has …
Enhanced diabetic retinopathy detection and exudates segmentation using deep learning: A promising approach for early disease diagnosis
Diabetic Retinopathy (DR) is a severe retinal condition primarily affecting diabetic people.
This is mostly due to excessive blood sugar levels, which induce retinal blood vessel …
This is mostly due to excessive blood sugar levels, which induce retinal blood vessel …
Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier
Diabetic Retinopathy (DR) is a widespread ocular condition and a significant contributor to
global blindness. Timely identification and precise diagnosis of DR are essential for …
global blindness. Timely identification and precise diagnosis of DR are essential for …
Application of artificial intelligence for classification, segmentation, early detection, early diagnosis, and grading of diabetic retinopathy from fundus retinal images: A …
G Rajarajeshwari, GC Selvi - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) remains a major factor contributing to vision loss worldwide,
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
Eisoc with ifodpso and dcnn classifier for diabetic retinopathy recognition system
Diabetic patients are tremendously increasing worldwide and it is a chronic disease that
may cause complications in Eye, Heart, and Kidneys. Diabetic retinopathy (DR) plays a vital …
may cause complications in Eye, Heart, and Kidneys. Diabetic retinopathy (DR) plays a vital …
Analysis of Transfers Learning Techniques for Early Detection and Grading of Diabetic Retinopathy on Retinal Images
Eye complications of diabetes include diabetic retinopathy (DR). It's caused by retinal blood
vessel alterations. Working-age individuals' major cause of blindness is diabetic retinopathy …
vessel alterations. Working-age individuals' major cause of blindness is diabetic retinopathy …
FedDL: personalized federated deep learning for enhanced detection and classification of diabetic retinopathy
Diabetic retinopathy (DR) is a condition that can lead to vision loss or blindness and is an
unavoidable consequence of diabetes. Regular eye examinations are essential to …
unavoidable consequence of diabetes. Regular eye examinations are essential to …