Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
[HTML][HTML] Deep learning for diabetic retinopathy detection and classification based on fundus images: A review
Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …
cause of blindness globally. Early detection and treatment are necessary in order to delay or …
RTNet: relation transformer network for diabetic retinopathy multi-lesion segmentation
Automatic diabetic retinopathy (DR) lesions segmentation makes great sense of assisting
ophthalmologists in diagnosis. Although many researches have been conducted on this …
ophthalmologists in diagnosis. Although many researches have been conducted on this …
Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning
Retinal fundus image analysis (RFIA) for diabetic retinopathy (DR) screening can be used to
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
Detection and classification of red lesions from retinal images for diabetic retinopathy detection using deep learning models
P Saranya, R Pranati, SS Patro - Multimedia Tools and Applications, 2023 - Springer
Diabetic retinopathy (DR) is an eye disease caused by retinal damage induced by the long-
term illness of diabetes mellitus. In the early stages, DR may show no symptoms or only …
term illness of diabetes mellitus. In the early stages, DR may show no symptoms or only …
A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
Adam challenge: Detecting age-related macular degeneration from fundus images
Age-related macular degeneration (AMD) is the leading cause of visual impairment among
elderly in the world. Early detection of AMD is of great importance, as the vision loss caused …
elderly in the world. Early detection of AMD is of great importance, as the vision loss caused …
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network
Because retinal hemorrhage is one of the earliest symptoms of diabetic retinopathy, its
accurate identification is essential for early diagnosis. One of the major obstacles …
accurate identification is essential for early diagnosis. One of the major obstacles …
CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images
Diabetic retinopathy (DR) is the leading cause of blindness among people of working age.
Fundus lesions are clinical signs of DR, and their recognition and delineation are important …
Fundus lesions are clinical signs of DR, and their recognition and delineation are important …
[HTML][HTML] Deep Bayesian baseline for segmenting diabetic retinopathy lesions: Advances and challenges
Early diagnosis of retinopathy is essential for preventing retinal complications and visual
impairment due to diabetes. For the detection of retinopathy lesions from retinal images …
impairment due to diabetes. For the detection of retinopathy lesions from retinal images …