Recent development on detection methods for the diagnosis of diabetic retinopathy
Diabetic retinopathy (DR) is a complication of diabetes that exists throughout the world. DR
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
DUNet: A deformable network for retinal vessel segmentation
Automatic segmentation of retinal vessels in fundus images plays an important role in the
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy
Diabetic retinopathy is ophthalmological distress, diabetic patients suffer due to clots,
lesions, or haemorrhage formation in the light-sensitive region of the retina. Blocking of …
lesions, or haemorrhage formation in the light-sensitive region of the retina. Blocking of …
A review on optimization techniques for medical image analysis
P Kaur, RK Singh - Concurrency and Computation: Practice …, 2023 - Wiley Online Library
Data mining of medical imaging approaches makes it difficult to determine their value in the
disease's insight, analysis, and diagnosis. Image classification presents a significant …
disease's insight, analysis, and diagnosis. Image classification presents a significant …
Attention guided U-Net with atrous convolution for accurate retinal vessels segmentation
Y Lv, H Ma, J Li, S Liu - IEEE Access, 2020 - ieeexplore.ieee.org
The accuracy of retinal vessels segmentation is of great significance for the diagnosis of
cardiovascular diseases such as diabetes and hypertension. Especially, the segmentation …
cardiovascular diseases such as diabetes and hypertension. Especially, the segmentation …
Edldr: An ensemble deep learning technique for detection and classification of diabetic retinopathy
Diabetic retinopathy (DR) is an ophthalmological disease that causes damage in the blood
vessels of the eye. DR causes clotting, lesions or haemorrhage in the light-sensitive region …
vessels of the eye. DR causes clotting, lesions or haemorrhage in the light-sensitive region …
Automatic retinal blood vessel segmentation based on fully convolutional neural networks
Y Jiang, H Zhang, N Tan, L Chen - Symmetry, 2019 - mdpi.com
Automated retinal vessel segmentation technology has become an important tool for
disease screening and diagnosis in clinical medicine. However, most of the available …
disease screening and diagnosis in clinical medicine. However, most of the available …
An enhanced segmentation and deep learning architecture for early diabetic retinopathy detection
RR Maaliw, ZP Mabunga… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Diabetic retinopathy is a serious complication needing prompt diagnosis and medication to
avert vision loss. Lesions caused by the condition are difficult to track because they are …
avert vision loss. Lesions caused by the condition are difficult to track because they are …
An automated image segmentation and useful feature extraction algorithm for retinal blood vessels in fundus images
AA Abdulsahib, MA Mahmoud, H Aris… - Electronics, 2022 - mdpi.com
The manual segmentation of the blood vessels in retinal images has numerous limitations. It
is very time consuming and prone to human error, particularly with a very twisted structure of …
is very time consuming and prone to human error, particularly with a very twisted structure of …
A multi-scale global attention network for blood vessel segmentation from fundus images
G Gao, J Li, L Yang, Y Liu - Measurement, 2023 - Elsevier
Accurate segmentation of retinal fundus vessel images is vital to clinical diagnosis. Due to
the intricate vascular morphology, high noise and low contrast of fundus vessel images …
the intricate vascular morphology, high noise and low contrast of fundus vessel images …