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An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges
Deep learning techniques, which use a massive technology known as convolutional neural
networks, have shown excellent results in a variety of areas, including image processing …
networks, have shown excellent results in a variety of areas, including image processing …
[HTML][HTML] Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar
that, if left untreated, can result in even blindness. A novel automated technique for DR …
that, if left untreated, can result in even blindness. A novel automated technique for DR …
[HTML][HTML] Diabetic retinopathy fundus image classification and lesions localization system using deep learning
Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-
reversible damage to retina blood vessels. DR is a leading cause of blindness if not …
reversible damage to retina blood vessels. DR is a leading cause of blindness if not …
[HTML][HTML] Early prediction of diabetes using an ensemble of machine learning models
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of
significant complications, including cardiovascular disease, kidney failure, diabetic …
significant complications, including cardiovascular disease, kidney failure, diabetic …
[HTML][HTML] Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic
patients. Early detection of the DR can save many patients from permanent blindness …
patients. Early detection of the DR can save many patients from permanent blindness …
An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
E Özbay - Artificial Intelligence Review, 2023 - Springer
Retinal fundus image analysis (RFIA) is frequently used in diabetic retinopathy (DR) scans
to determine the risk of blindness in diabetic patients. Ophthalmologists receive support from …
to determine the risk of blindness in diabetic patients. Ophthalmologists receive support from …
Comparative analysis of diabetic retinopathy classification approaches using machine learning and deep learning techniques
Diabetic retinopathy (DR) is an eye disease caused due to excess of sugar in retinal blood
vessels and obstructs vision. Regular and timely diagnosis can prevent the severity of …
vessels and obstructs vision. Regular and timely diagnosis can prevent the severity of …
[HTML][HTML] A deep neural network and machine learning approach for retinal fundus image classification
R Thanki - Healthcare Analytics, 2023 - Elsevier
Diabetes is a common chronic disease and a major public health problem approaching
epidemic proportions globally. People with diabetes are more likely to suffer from glaucoma …
epidemic proportions globally. People with diabetes are more likely to suffer from glaucoma …
Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
Diabetes is currently one of the most common, dangerous, and costly diseases globally
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
Classification of diabetic retinopathy with feature selection over deep features using nature-inspired wrapper methods
M Canayaz - Applied Soft Computing, 2022 - Elsevier
Diabetic retinopathy (DR) is the most common cause of blindness in middle-aged people. It
shows that an automatic image evaluation system is needed in the diagnosis of this disease …
shows that an automatic image evaluation system is needed in the diagnosis of this disease …