Related references
Note: Only part of the references are listed.DUNet: A deformable network for retinal vessel segmentation
Qiangguo Jin et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Recurrent residual U-Net for medical image segmentation
Md Zahangir Alom et al.
JOURNAL OF MEDICAL IMAGING (2019)
Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation
Zengqiang Yan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Mapping Functions Driven Robust Retinal Vessel Segmentation via Training Patches
Haiying Xia et al.
IEEE ACCESS (2018)
A Coarse-to-Fine Fully Convolutional Neural Network for Fundus Vessel Segmentation
Jianwei Lu et al.
SYMMETRY-BASEL (2018)
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images
Jose Ignacio Orlando et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
Retinal vessel delineation using a brain-inspired wavelet transform and random forest
Jiong Zhang et al.
PATTERN RECOGNITION (2017)
A new supervised retinal vessel segmentation method based on robust hybrid features
Shahab Aslani et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2016)
An Ensemble Retinal, Vessel Segmentation Based on Supervised Learning in Fundus Images
Zhu Chengzhang et al.
CHINESE JOURNAL OF ELECTRONICS (2016)
A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images
Qiaoliang Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Segmenting Retinal Blood Vessels With Deep Neural Networks
Pawel Liskowski et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Trainable COSFIRE filters for vessel delineation with application to retinal images
George Azzopardi et al.
MEDICAL IMAGE ANALYSIS (2015)
An approach to localize the retinal blood vessels using bit planes and centerline detection
M. M. Fraz et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2012)
Blood vessel segmentation methodologies in retinal images - A survey
M. M. Fraz et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2012)
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features
Diego Marin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2011)
Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
Xinge You et al.
PATTERN RECOGNITION (2011)
FABC: Retinal Vessel Segmentation Using AdaBoost
Carmen Alina Lupascu et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2010)
General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling
Benson S. Y. Lam et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)
An Active Contour Model for Segmenting and Measuring Retinal Vessels
Bashir Al-Diri et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2009)
Measuring Retinal Vessel Tortuosity in 10-Year-Old Children: Validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) Program
Christopher G. Owen et al.
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2009)
An improved matched filter for blood vessel detection of digital retinal images
Mohammed Al-Rawi et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2007)
Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification
Joao V. B. Soares et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2006)
Ridge-based vessel segmentation in color images of the retina
J Staal et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2004)
Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images
XY Jiang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2003)
Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
A Hoover et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2000)
Share Paper
