Retinal Vessel Segmentation via Structure Tensor Coloring and Anisotropy Enhancement
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Retinal Vessel Segmentation via Structure Tensor Coloring and Anisotropy Enhancement
Authors
Keywords
-
Journal
Symmetry-Basel
Volume 9, Issue 11, Pages 276
Publisher
MDPI AG
Online
2017-11-14
DOI
10.3390/sym9110276
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images
- (2017) Luiz Câmara Neto et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multi-level deep supervised networks for retinal vessel segmentation
- (2017) Juan Mo et al. International Journal of Computer Assisted Radiology and Surgery
- A Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images
- (2017) Yanhui Guo et al. Symmetry-Basel
- Retinal blood vessels segmentation by using Gumbel probability distribution function based matched filter
- (2016) Nagendra Pratap Singh et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Segmenting Retinal Blood Vessels With _newline Deep Neural Networks
- (2016) Pawel Liskowski et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters
- (2016) Nicola Strisciuglio et al. MACHINE VISION AND APPLICATIONS
- A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding
- (2016) Khan BahadarKhan et al. PLoS One
- Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images
- (2015) Yitian Zhao et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Trainable COSFIRE filters for vessel delineation with application to retinal images
- (2015) George Azzopardi et al. MEDICAL IMAGE ANALYSIS
- Blood vessel segmentation methodologies in retinal images – A survey
- (2012) M.M. Fraz et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation
- (2012) Muhammad Moazam Fraz et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A personal identification system using retinal vasculature in retinal fundus images
- (2011) Cemal Köse et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic model-based tracing algorithm for vessel segmentation and diameter estimation
- (2010) Konstantinos K. Delibasis et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Retinal vessel extraction by matched filter with first-order derivative of Gaussian
- (2010) Bob Zhang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling
- (2010) Benson S Y Lam et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features
- (2010) D Marín et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A fast, efficient and automated method to extract vessels from fundus images
- (2010) Fabiola M. Villalobos-Castaldi et al. JOURNAL OF VISUALIZATION
- Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm
- (2009) Muhammed Gökhan Cinsdikici et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- An Active Contour Model for Segmenting and Measuring Retinal Vessels
- (2009) B. Al-Diri et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now