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 …
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 …
Semi-supervised medical image segmentation through dual-task consistency
Deep learning-based semi-supervised learning (SSL) algorithms have led to promising
results in medical images segmentation and can alleviate doctors' expensive annotations by …
results in medical images segmentation and can alleviate doctors' expensive annotations by …
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 …
Transformation-consistent self-ensembling model for semisupervised medical image segmentation
A common shortfall of supervised deep learning for medical imaging is the lack of labeled
data, which is often expensive and time consuming to collect. This article presents a new …
data, which is often expensive and time consuming to collect. This article presents a new …
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 …
Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation
Retinal blood vessel segmentation in fundus images plays an important role in the early
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
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 …