Idrid: Diabetic retinopathy–segmentation and grading challenge
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss,
predominantly affecting the working-age population across the globe. Screening for DR …
predominantly affecting the working-age population across the globe. Screening for DR …
Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning
A Sugeno, Y Ishikawa, T Ohshima… - Computers in Biology and …, 2021 - Elsevier
Diabetic retinopathy (DR) has become one of the major causes of blindness. Due to the
increased prevalence of diabetes worldwide, diabetic patients exhibit high probabilities of …
increased prevalence of diabetes worldwide, diabetic patients exhibit high probabilities of …
Automated computationally intelligent methods for ocular vessel segmentation and disease detection: a review
Ocular diseases are eventually increasing these days that cause partial or complete vision
loss even at an early age, the prominent reason behind this is cardiovascular diseases that …
loss even at an early age, the prominent reason behind this is cardiovascular diseases that …
Microaneurysms detection in color fundus images using machine learning based on directional local contrast
S Long, J Chen, A Hu, H Liu, Z Chen… - Biomedical engineering …, 2020 - Springer
Background As one of the major complications of diabetes, diabetic retinopathy (DR) is a
leading cause of visual impairment and blindness due to delayed diagnosis and …
leading cause of visual impairment and blindness due to delayed diagnosis and …
[HTML][HTML] Retinal disease identification using upgraded CLAHE filter and transfer convolution neural network
Retinal tissue plays a crucial part in human vision. Infections of retinal tissue and delayed
treatment or untreated infection could lead to loss of vision. Additionally, the diagnosis is …
treatment or untreated infection could lead to loss of vision. Additionally, the diagnosis is …
Deep learning approach for stages of severity classification in diabetic retinopathy using color fundus retinal images
Diabetes is a very fast‐growing disease in India, with currently more than 72 million patients.
Prolonged diabetes (about almost 20 years) can cause serious loss to the tiny blood vessels …
Prolonged diabetes (about almost 20 years) can cause serious loss to the tiny blood vessels …
[HTML][HTML] Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images
The detection of retinal microaneurysms is crucial for the early detection of important
diseases such as diabetic retinopathy. However, the detection of these lesions in …
diseases such as diabetic retinopathy. However, the detection of these lesions in …
Microaneurysm detection in color eye fundus images for diabetic retinopathy screening
Diabetic retinopathy (DR) is a diabetes complication, which in extreme situations may lead
to blindness. Since the first stages are often asymptomatic, regular eye examinations are …
to blindness. Since the first stages are often asymptomatic, regular eye examinations are …
Advances in retinal microaneurysms detection, segmentation and datasets for the diagnosis of diabetic retinopathy: a systematic literature review
Microaneurysms (MAs) are small, circular, red lesions typically observed in the initial stage
of Diabetic Retinopathy (DR). DR is a degenerative eye condition resulting from diabetes …
of Diabetic Retinopathy (DR). DR is a degenerative eye condition resulting from diabetes …
Automatic diagnosis of diabetic retinopathy with the aid of adaptive average filtering with optimized deep convolutional neural network
The most effective treatment for diabetic retinopathy (DR) is the early detection through
regular screening, which is critical for a better prognosis. Automatic screening of the images …
regular screening, which is critical for a better prognosis. Automatic screening of the images …