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 …
Diabetic retinopathy techniques in retinal images: A review
N Salamat, MMS Missen, A Rashid - Artificial intelligence in medicine, 2019 - Elsevier
The diabetic retinopathy is the main reason of vision loss in people. Medical experts
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …
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 …
Joint segment-level and pixel-wise losses for deep learning based retinal vessel segmentation
Objective: Deep learning based methods for retinal vessel segmentation are usually trained
based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to …
based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to …
Lightweight attention convolutional neural network for retinal vessel image segmentation
Retinal vessel image is an important biological information that can be used for personal
identification in the social security domain, and for disease diagnosis in the medical domain …
identification in the social security domain, and for disease diagnosis in the medical domain …
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 …
A cross-modality learning approach for vessel segmentation in retinal images
Q Li, B Feng, LP Xie, P Liang… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
This paper presents a new supervised method for vessel segmentation in retinal images.
This method remolds the task of segmentation as a problem of cross-modality data …
This method remolds the task of segmentation as a problem of cross-modality data …
Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores
This paper presents a robust and fully automatic filter-based approach for retinal vessel
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …
An ensemble classification-based approach applied to retinal blood vessel segmentation
MM Fraz, P Remagnino, A Hoppe… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper presents a new supervised method for segmentation of blood vessels in retinal
photographs. This method uses an ensemble system of bagged and boosted decision trees …
photographs. This method uses an ensemble system of bagged and boosted decision trees …
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning
S Wang, Y Yin, G Cao, B Wei, Y Zheng, G Yang - Neurocomputing, 2015 - Elsevier
Segmentation of retinal blood vessels is of substantial clinical importance for diagnoses of
many diseases, such as diabetic retinopathy, hypertension and cardiovascular diseases. In …
many diseases, such as diabetic retinopathy, hypertension and cardiovascular diseases. In …