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 …
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 …
A survey on medical image analysis in diabetic retinopathy
Diabetic Retinopathy (DR) represents a highly-prevalent complication of diabetes in which
individuals suffer from damage to the blood vessels in the retina. The disease manifests …
individuals suffer from damage to the blood vessels in the retina. The disease manifests …
Retinal vessel segmentation using multi-scale residual convolutional neural network (MSR-Net) combined with generative adversarial networks
Retinal fundus images provide valuable diagnostic and clinical information in the diagnosis
of ophthalmologic diseases. Retinal blood vessel analysis provides important diagnostic …
of ophthalmologic diseases. Retinal blood vessel analysis provides important diagnostic …
An automated early diabetic retinopathy detection through improved blood vessel and optic disc segmentation
This paper presents an automated early diabetic retinopathy detection scheme from color
fundus images through improved segmentation strategies for optic disc and blood vessels …
fundus images through improved segmentation strategies for optic disc and blood vessels …
Addressing class imbalance in deep learning for small lesion detection on medical images
Deep learning methods utilizing Convolutional Neural Networks (CNNs) have led to
dramatic advances in automated understanding of medical images. However, in many …
dramatic advances in automated understanding of medical images. However, in many …
Microaneurysm detection in fundus images using a two-step convolutional neural network
Background and objectives Diabetic retinopathy (DR) is the leading cause of blindness
worldwide, and therefore its early detection is important in order to reduce disease-related …
worldwide, and therefore its early detection is important in order to reduce disease-related …
A novel weakly supervised multitask architecture for retinal lesions segmentation on fundus images
Obtaining the complete segmentation map of retinal lesions is the first step toward an
automated diagnosis tool for retinopathy that is interpretable in its decision-making …
automated diagnosis tool for retinopathy that is interpretable in its decision-making …
[HTML][HTML] Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review
Diabetic retinopathy (DR), a chronic disease in which the retina is damaged due to small
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …
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 …