Deep learning based retinal vessel segmentation and hypertensive retinopathy quantification using heterogeneous features cross-attention neural network
X Liu, H Tan, W Wang, Z Chen - Frontiers in Medicine, 2024 - frontiersin.org
Retinal vessels play a pivotal role as biomarkers in the detection of retinal diseases,
including hypertensive retinopathy. The manual identification of these retinal vessels is both …
including hypertensive retinopathy. The manual identification of these retinal vessels is both …
Multi-level deep supervised networks for retinal vessel segmentation
J Mo, L Zhang - International journal of computer assisted radiology …, 2017 - Springer
Purpose Changes in the appearance of retinal blood vessels are an important indicator for
various ophthalmologic and cardiovascular diseases, including diabetes, hypertension …
various ophthalmologic and cardiovascular diseases, including diabetes, hypertension …
Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy
Retinal vessels are considered important biomarkers for the detection of retinal diseases,
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
Retinal vessel segmentation via multiscaled deep-guidance
Retinal vessel segmentation is a fundamental and crucial step to develop a computer-aided
diagnosis (CAD) system for retinal images. Retinal vessels appear as multiscaled tubular …
diagnosis (CAD) system for retinal images. Retinal vessels appear as multiscaled tubular …
Deep ensemble learning for accurate retinal vessel segmentation
L Du, H Liu, L Zhang, Y Lu, M Li, Y Hu… - Computers in Biology and …, 2023 - Elsevier
Significant progress has been made in deep learning-based retinal vessel segmentation in
recent years. However, the current methods suffer from low performance and the robust of …
recent years. However, the current methods suffer from low performance and the robust of …
A data-aware deep supervised method for retinal vessel segmentation
Accurate vessel segmentation in retinal images is vital for retinopathy diagnosis and
analysis. However, existence of very thin vessels in low image contrast along with …
analysis. However, existence of very thin vessels in low image contrast along with …
Retinal vessel segmentation based on fully convolutional networks
Z Liu - arXiv preprint arXiv:1911.09915, 2019 - arxiv.org
The morphological attributes of retinal vessels, such as length, width, tortuosity and
branching pattern and angles, play an important role in diagnosis, screening, treatment, and …
branching pattern and angles, play an important role in diagnosis, screening, treatment, and …
Retinal blood vessel segmentation and analysis using lightweight spatial attention based CNN and data augmentation
The exact detection and creation of treatment regimens for conditions like diabetic
retinopathy and hypertensive retinopathy depend on the segmentation of retinal blood …
retinopathy and hypertensive retinopathy depend on the segmentation of retinal blood …
Deep dilated convolutional nets for the automatic segmentation of retinal vessels
A Hatamizadeh, H Hosseini, Z Liu, SD Schwartz… - arXiv preprint arXiv …, 2019 - arxiv.org
The reliable segmentation of retinal vasculature can provide the means to diagnose and
monitor the progression of a variety of diseases affecting the blood vessel network, including …
monitor the progression of a variety of diseases affecting the blood vessel network, including …
Hard attention net for automatic retinal vessel segmentation
D Wang, A Haytham, J Pottenburgh… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Automated retinal vessel segmentation is among the most significant application and
research topics in ophthalmologic image analysis. Deep learning based retinal vessel …
research topics in ophthalmologic image analysis. Deep learning based retinal vessel …
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