Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics
Diabetic retinopathy (DR) is a fast-spreading disease across the globe, which is caused by
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …
A systematic review on diabetic retinopathy detection using deep learning techniques
Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …
and it becomes extremely time-consuming and challenging to detect manually. As a result …
ELEMENT: Multi-modal retinal vessel segmentation based on a coupled region growing and machine learning approach
Vascular structures in the retina contain important information for the detection and analysis
of ocular diseases, including age-related macular degeneration, diabetic retinopathy and …
of ocular diseases, including age-related macular degeneration, diabetic retinopathy and …
Multiple lesions detection of fundus images based on convolution neural network algorithm with improved SFLA
W Ding, Y Sun, L Ren, H Ju, Z Feng, M Li - IEEE access, 2020 - ieeexplore.ieee.org
In order to effectively solve the problem of interlaced overlap in the fundus image lesions,
large and small blood vessels packed densely and severely affected by light, and to achieve …
large and small blood vessels packed densely and severely affected by light, and to achieve …
Finding correlation between diabetic retinopathy and diabetes during pregnancy based on computer-aided diagnosis: a review
Diabetic retinopathy (DR) is a condition that damages the retina in people with diabetes and
can lead to vision loss. It can be detected by observing the morphological changes in the …
can lead to vision loss. It can be detected by observing the morphological changes in the …
[HTML][HTML] Local-Sensitive Connectivity Filter (LS-CF): A Post-Processing Unsupervised Improvement of the Frangi, Hessian and Vesselness Filters for Multimodal …
EO Rodrigues, LO Rodrigues, JHP Machado… - Journal of …, 2022 - mdpi.com
A retinal vessel analysis is a procedure that can be used as an assessment of risks to the
eye. This work proposes an unsupervised multimodal approach that improves the response …
eye. This work proposes an unsupervised multimodal approach that improves the response …
[HTML][HTML] GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation
Most diabetes patients develop a condition known as diabetic retinopathy after having
diabetes for a prolonged period. Due to this ailment, damaged blood vessels may occur …
diabetes for a prolonged period. Due to this ailment, damaged blood vessels may occur …
UGLS: an uncertainty guided deep learning strategy for accurate image segmentation
X Yang, Y Zheng, C Mei, G Jiang, B Tian… - Frontiers in …, 2024 - frontiersin.org
Accurate image segmentation plays a crucial role in computer vision and medical image
analysis. In this study, we developed a novel uncertainty guided deep learning strategy …
analysis. In this study, we developed a novel uncertainty guided deep learning strategy …
A Systematic Review on Deep Learning Techniques for Diabetic Retinopathy Segmentation and Detection Using Ocular Imaging Modalities
Diabetic Retinopathy (DR) is a rapidly growing consequence of diabetes mellitus globally.
DR causes lesions that can cause blindness if untreated. The significant advancement in …
DR causes lesions that can cause blindness if untreated. The significant advancement in …
[PDF][PDF] A survey on machine and deep learning for detection of diabetic RetinopathY
Diabetic Retinopathy (DR) is one of the mainly causes of visual loss worldwide. In fact, DR is
leading source of impaired vision in people between 25 and 74 years old. DR exists in wide …
leading source of impaired vision in people between 25 and 74 years old. DR exists in wide …