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 …
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 …
Comparative analysis of vessel segmentation techniques in retinal images
The blood vessels are the primary anatomical structure that can be visible in retinal images.
The segmentation of retinal blood vessels has been accepted worldwide for the diagnosis of …
The segmentation of retinal blood vessels has been accepted worldwide for the diagnosis of …
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 …
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 …
A framework for retinal vessel segmentation from fundus images using hybrid feature set and hierarchical classification
SA Khowaja, P Khuwaja, IA Ismaili - Signal, Image and Video Processing, 2019 - Springer
Retinal blood vessels play an imperative role in detection of many ailments, such as
cardiovascular diseases, hypertension, and diabetic retinopathy. The automated way of …
cardiovascular diseases, hypertension, and diabetic retinopathy. The automated way of …
A high resolution representation network with multi-path scale for retinal vessel segmentation
Z Lin, J Huang, Y Chen, X Zhang, W Zhao, Y Li… - Computer Methods and …, 2021 - Elsevier
Background and objectives: Automatic retinal vessel segmentation (RVS) in fundus images
is expected to be a vital step in the early image diagnosis of ophthalmologic diseases …
is expected to be a vital step in the early image diagnosis of ophthalmologic diseases …
A hybrid unsupervised approach for retinal vessel segmentation
Retinal vessel segmentation (RVS) is a significant source of useful information for
monitoring, identification, initial medication, and surgical development of ophthalmic …
monitoring, identification, initial medication, and surgical development of ophthalmic …
Multi-level attention network for retinal vessel segmentation
Automatic vessel segmentation in the fundus images plays an important role in the
screening, diagnosis, treatment, and evaluation of various cardiovascular and …
screening, diagnosis, treatment, and evaluation of various cardiovascular and …
High‐quality retinal vessel segmentation using generative adversarial network with a large receptive field
H Zhao, X Qiu, W Lu, H Huang… - International Journal of …, 2020 - Wiley Online Library
Retinal vessel segmentation is of great significance for assisting doctors in diagnosis of
ophthalmological diseases such as diabetic retinopathy, macular degeneration and …
ophthalmological diseases such as diabetic retinopathy, macular degeneration and …