A Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images

Retina Image Vessel Segmentation Using a Hybrid CGLI Level Set Method

(2017) Guannan Chen et al.   Biomed Research International

Segmenting Retinal Blood Vessels With _newline Deep Neural Networks

(2016) Pawel Liskowski et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering

(2016) Yanhui Guo et al.   NEURAL COMPUTING & APPLICATIONS

Hierarchical retinal blood vessel segmentation based on feature and ensemble learning

(2015) Shuangling Wang et al.   NEUROCOMPUTING

A novel image thresholding algorithm based on neutrosophic similarity score

(2014) Yanhui Guo et al.   MEASUREMENT

Retinal vessels segmentation based on level set and region growing

(2014) Yu Qian Zhao et al.   PATTERN RECOGNITION

A Novel Color Image Segmentation Approach Based on Neutrosophic Set and Modified Fuzzy c-Means

(2012) Yanhui Guo et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Fast Retinal Vessel Detection and Measurement Using Wavelets and Edge Location Refinement

(2012) Peter Bankhead et al.   PLoS One

A Shearlet Approach to Edge Analysis and Detection

(2009) Sheng Yi et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Unsupervised Fuzzy Based Vessel Segmentation In Pathological Digital Fundus Images

(2009) Giri Babu Kande et al.   JOURNAL OF MEDICAL SYSTEMS

Sparse directional image representations using the discrete shearlet transform

(2007) Glenn Easley et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS