Blood vessel segmentation methodologies in retinal images–a survey
MM Fraz, P Remagnino, A Hoppe… - Computer methods and …, 2012 - Elsevier
Retinal vessel segmentation algorithms are a fundamental component of automatic retinal
disease screening systems. This work examines the blood vessel segmentation …
disease screening systems. This work examines the blood vessel segmentation …
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification
MRK Mookiah, S Hogg, TJ MacGillivray, V Prathiba… - Medical Image …, 2021 - Elsevier
The eye affords a unique opportunity to inspect a rich part of the human microvasculature
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
A discriminatively trained fully connected conditional random field model for blood vessel segmentation in fundus images
JI Orlando, E Prokofyeva… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Goal: In this work, we present an extensive description and evaluation of our method for
blood vessel segmentation in fundus images based on a discriminatively trained fully …
blood vessel segmentation in fundus images based on a discriminatively trained fully …
Automated vessel segmentation using infinite perimeter active contour model with hybrid region information with application to retinal images
Automated detection of blood vessel structures is becoming of crucial interest for better
management of vascular disease. In this paper, we propose a new infinite active contour …
management of vascular disease. In this paper, we propose a new infinite active contour …
Recent advancements in retinal vessel segmentation
Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis,
early treatment and surgery planning of ocular diseases. For the last two decades, a …
early treatment and surgery planning of ocular diseases. For the last two decades, a …
Retinal vessel segmentation: An efficient graph cut approach with retinex and local phase
Our application concerns the automated detection of vessels in retinal images to improve
understanding of the disease mechanism, diagnosis and treatment of retinal and a number …
understanding of the disease mechanism, diagnosis and treatment of retinal and a number …
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 …
Enhancing retinal blood vessel segmentation in medical images using combined segmentation modes extracted by DBSCAN and morphological reconstruction
K Mardani, K Maghooli - Biomedical Signal Processing and Control, 2021 - Elsevier
In this study, a new algorithm is proposed for retinal blood vessel segmentation in medical
images using the density-based spatial clustering of applications with noise (DBSCAN) and …
images using the density-based spatial clustering of applications with noise (DBSCAN) and …
Robust retinal blood vessel segmentation using hybrid active contour model
In the present scenario, retinal image processing is toiling hard to get an efficient algorithm
for de‐noising and segmenting the blood vessel confined inside the closed curvature …
for de‐noising and segmenting the blood vessel confined inside the closed curvature …
A novel deep learning pipeline for retinal vessel detection in fluorescein angiography
L Ding, MH Bawany, AE Kuriyan… - … on Image Processing, 2020 - ieeexplore.ieee.org
While recent advances in deep learning have significantly advanced the state of the art for
vessel detection in color fundus (CF) images, the success for detecting vessels in …
vessel detection in color fundus (CF) images, the success for detecting vessels in …