An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges

AA Mukhlif, B Al-Khateeb… - Journal of Intelligent …, 2022 - degruyter.com
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 …

[HTML][HTML] Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

M Nahiduzzaman, MR Islam, MOF Goni… - Expert Systems with …, 2023 - Elsevier
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 …

[HTML][HTML] Diabetic retinopathy fundus image classification and lesions localization system using deep learning

WL Alyoubi, MF Abulkhair, WM Shalash - Sensors, 2021 - mdpi.com
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 …

[HTML][HTML] Early prediction of diabetes using an ensemble of machine learning models

A Dutta, MK Hasan, M Ahmad, MA Awal… - International Journal of …, 2022 - mdpi.com
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 …

[HTML][HTML] Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

MR Islam, LF Abdulrazak, M Nahiduzzaman… - Computers in biology …, 2022 - Elsevier
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 …

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 …

Comparative analysis of diabetic retinopathy classification approaches using machine learning and deep learning techniques

R Bala, A Sharma, N Goel - Archives of Computational Methods in …, 2024 - Springer
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 …

[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 …

Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction

J Abdollahi, B Nouri-Moghaddam - Iran Journal of Computer Science, 2022 - Springer
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 …

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 …