BSCN: bidirectional symmetric cascade network for retinal vessel segmentation
Y Guo, Y Peng - BMC medical imaging, 2020 - Springer
Background Retinal blood vessel segmentation has an important guiding significance for the
analysis and diagnosis of cardiovascular diseases such as hypertension and diabetes. But …
analysis and diagnosis of cardiovascular diseases such as hypertension and diabetes. But …
Retinal vessel segmentation using deep learning: a review
This paper presents a comprehensive review of retinal blood vessel segmentation based on
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
Rvseg-net: An efficient feature pyramid cascade network for retinal vessel segmentation
W Wang, J Zhong, H Wu, Z Wen, J Qin - … , Lima, Peru, October 4–8, 2020 …, 2020 - Springer
Accurate retinal vessel segmentation plays a critical role in the diagnosis of many relevant
diseases. However, it remains a challenging task due to (1) the great scale variation of …
diseases. However, it remains a challenging task due to (1) the great scale variation of …
A transformer-based cascade network with boundary enhancement loss for retinal vessel segmentation
B Cai, L Ma - 2022 26th International Conference on Pattern …, 2022 - ieeexplore.ieee.org
Analyzing the retinal vessel structure is of great importance that it can assist doctors to
diagnose eye diseases including hypertension and glaucoma. Existing deep learning …
diagnose eye diseases including hypertension and glaucoma. Existing deep learning …
Accurate retinal vessel segmentation in color fundus images via fully attention-based networks
K Li, X Qi, Y Luo, Z Yao, X Zhou… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Automatic retinal vessel segmentation is important for the diagnosis and prevention of
ophthalmic diseases. The existing deep learning retinal vessel segmentation models always …
ophthalmic diseases. The existing deep learning retinal vessel segmentation models always …
Feature pyramid U‐Net for retinal vessel segmentation
The retinal vessel is the only microvascular network that can be directly and non‐invasively
observed in humans. Cardiovascular and cerebrovascular diseases, such as diabetes …
observed in humans. Cardiovascular and cerebrovascular diseases, such as diabetes …
Retinal vessel segmentation in fundus images using convolutional neural network
The structure of retinal vessel can reflect health status of patients, and a clear representation
of retinal vessel map helps ophthalmologist to make diagnosis of some disease, such as …
of retinal vessel map helps ophthalmologist to make diagnosis of some disease, such as …
Data augmentation is more important than model architectures for retinal vessel segmentation
While various deep learning models have recently been proposed or applied to improve the
segmentation of vessels in retinal images, the performance gap between different models …
segmentation of vessels in retinal images, the performance gap between different models …
Multi-scale regularized deep network for retinal vessel segmentation
Vessel segmentation of retinal images is a key diagnostic capability in ophthalmology. Early
approaches addressing this problem employed hand-crafted filters to capture vessel …
approaches addressing this problem employed hand-crafted filters to capture vessel …
A three-stage deep learning model for accurate retinal vessel segmentation
Automatic retinal vessel segmentation is a fundamental step in the diagnosis of eye-related
diseases, in which both thick vessels and thin vessels are important features for symptom …
diseases, in which both thick vessels and thin vessels are important features for symptom …