Width-wise vessel bifurcation for improved retinal vessel segmentation

Improvement of thin retinal vessel extraction using mean matting method

(2021) V. Sathananthavathi et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy

(2021) Sraddha Das et al.   Biomedical Signal Processing and Control

Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation

(2020) Beatriz Remeseiro et al.   VISUAL COMPUTER

Sine-Net: A fully convolutional deep learning architecture for retinal blood vessel segmentation

(2020) İbrahim Atli et al.   Engineering Science and Technology-An International Journal-JESTECH

Computer-aided retinal vessel segmentation in retinal images: convolutional neural networks

(2020) Esin Uysal et al.   MULTIMEDIA TOOLS AND APPLICATIONS

VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation

(2020) Pearl Mary Samuel et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Unsupervised sorting of retinal vessels using locally consistent Gaussian mixtures

(2020) D. Relan et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A Multi-Scale Directional Line Detector for Retinal Vessel Segmentation

(2019) Ahsan Khawaja et al.   SENSORS

Deep vessel segmentation by learning graphical connectivity

(2019) Seung Yeon Shin et al.   MEDICAL IMAGE ANALYSIS

A new robust method for blood vessel segmentation in retinal fundus images based on weighted line detector and hidden Markov model

(2019) Chao Zhou et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Retinal Vessel Segmentation based on Fully Convolutional Neural Networks

(2018) Américo Filipe Moreira Oliveira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation

(2018) Zengqiang Yan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A Skeletal Similarity Metric for Quality Evaluation of Retinal Vessel Segmentation

(2018) Zengqiang Yan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function

(2018) Kai Hu et al.   NEUROCOMPUTING

A robust technique based on VLM and Frangi filter for retinal vessel extraction and denoising

(2018) Khan Bahadar Khan et al.   PLoS One

Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and Expectation Maximization

(2018) Hugo Aguirre-Ramos et al.   APPLIED MATHEMATICS AND COMPUTATION

Supervised Segmentation of Un-annotated Retinal Fundus Images by Synthesis

(2018) He Zhao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images

(2017) Luiz Câmara Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images

(2017) Jose Ignacio Orlando et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A new supervised retinal vessel segmentation method based on robust hybrid features

(2016) Shahab Aslani et al.   Biomedical Signal Processing and Control

Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores

(2016) Jiong Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding

(2016) Khan BahadarKhan et al.   PLoS One

Unsupervised Retinal Vessel Segmentation Using Combined Filters

(2016) Wendeson S. Oliveira et al.   PLoS One

An effective retinal blood vessel segmentation method using multi-scale line detection

(2012) Uyen T.V. Nguyen et al.   PATTERN RECOGNITION

A strain energy filter for 3D vessel enhancement with application to pulmonary CT images

(2010) Changyan Xiao et al.   MEDICAL IMAGE ANALYSIS

Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays

(2008) Farzad Parvaresh et al.   IEEE Journal of Selected Topics in Signal Processing