- Home
- Publications
- Publication Search
- Publication Details
Title
Retinal Blood Vessels and Optic Disc Segmentation Using U-Net
Authors
Keywords
-
Journal
MATHEMATICAL PROBLEMS IN ENGINEERING
Volume 2022, Issue -, Pages 1-11
Publisher
Hindawi Limited
Online
2022-02-15
DOI
10.1155/2022/8030954
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Ensemble of Deep Learning-Based Multimodal Remote Sensing Image Classification Model on Unmanned Aerial Vehicle Networks
- (2021) Gyanendra Prasad Joshi et al. Mathematics
- DUNet: A deformable network for retinal vessel segmentation
- (2019) Qiangguo Jin et al. KNOWLEDGE-BASED SYSTEMS
- 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
- Improved multi-scale line detection method for retinal blood vessel segmentation
- (2018) Kejuan Yue et al. IET Image Processing
- A retinal vessel detection approach using convolution neural network with reinforcement sample learning strategy
- (2018) Yanhui Guo et al. MEASUREMENT
- 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
- Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector
- (2018) Bin Sheng et al. IEEE Transactions on Cybernetics
- Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation
- (2018) Toufique Ahmed Soomro et al. IEEE Access
- GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection
- (2018) Qi Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Retinal blood vessel segmentation using the elite-guided multi-objective artificial bee colony algorithm
- (2018) Bilal Khomri et al. IET Image Processing
- A Three-stage Deep Learning Model for Accurate Retinal Vessel Segmentation
- (2018) Zengqiang Yan et al. IEEE Journal of Biomedical and Health Informatics
- Blood vessel segmentation from fundus image by a cascade classification framework
- (2018) Xiaohong Wang et al. PATTERN RECOGNITION
- Boosting sensitivity of a retinal vessel segmentation algorithm
- (2017) Mohammad A. U. Khan et al. PATTERN ANALYSIS AND APPLICATIONS
- Retinal vessel delineation using a brain-inspired wavelet transform and random forest
- (2017) Jiong Zhang et al. PATTERN RECOGNITION
- Contrast normalization steps for increased sensitivity of a retinal image segmentation method
- (2017) Toufique Ahmed Soomro et al. Signal Image and Video Processing
- Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
- (2016) Jiong Zhang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images
- (2016) Qiaoliang Li 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 Dynamic Probabilistic Based Broadcasting Scheme for MANETs
- (2016) Kannan Shanmugam et al. TheScientificWorldJOURNAL
- A Dynamic Probabilistic Based Broadcasting Scheme for MANETs
- (2016) Kannan Shanmugam et al. Scientific World Journal
- Unsupervised Retinal Vessel Segmentation Using Combined Filters
- (2016) Wendeson S. Oliveira et al. PLoS One
- Iterative Vessel Segmentation of Fundus Images
- (2015) Sohini Roychowdhury et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- 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
- Hierarchical retinal blood vessel segmentation based on feature and ensemble learning
- (2015) Shuangling Wang et al. NEUROCOMPUTING
- Retinal vessels segmentation based on level set and region growing
- (2014) Yu Qian Zhao et al. PATTERN RECOGNITION
- Accurate Image Analysis of the Retina Using Hessian Matrix and Binarisation of Thresholded Entropy with Application of Texture Mapping
- (2014) Xiaoxia Yin et al. PLoS One
- Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Sub-Image Classification
- (2014) Sohini Roychowdhury et al. IEEE Journal of Biomedical and Health Informatics
- A high performance hardware architecture for portable, low-power retinal vessel segmentation
- (2013) Dimitris Koukounis et al. INTEGRATION-THE VLSI JOURNAL
- An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation
- (2012) Muhammad Moazam Fraz et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- An effective retinal blood vessel segmentation method using multi-scale line detection
- (2012) Uyen T.V. Nguyen et al. PATTERN RECOGNITION
- Small retinal vessels extraction towards proliferative diabetic retinopathy screening
- (2011) Girish Singh Ramlugun et al. EXPERT SYSTEMS WITH APPLICATIONS
- Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
- (2011) Xinge You et al. PATTERN RECOGNITION
- Retinal vessel extraction by matched filter with first-order derivative of Gaussian
- (2010) Bob Zhang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- 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
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started