An Improved Retinal Vessel Segmentation Method Based on High Level Features for Pathological Images
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Title
An Improved Retinal Vessel Segmentation Method Based on High Level Features for Pathological Images
Authors
Keywords
Segmentation, Pathological image, Blood vessel, High level features
Journal
JOURNAL OF MEDICAL SYSTEMS
Volume 38, Issue 9, Pages -
Publisher
Springer Nature
Online
2014-07-18
DOI
10.1007/s10916-014-0108-z
References
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Note: Only part of the references are listed.- Computer-aided diagnosis of diabetic retinopathy: A review
- (2013) Muthu Rama Krishnan Mookiah et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation
- (2012) Abdolhossein Fathi et al. Biomedical Signal Processing and Control
- Blood vessel segmentation methodologies in retinal images – A survey
- (2012) M.M. Fraz et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- An effective retinal blood vessel segmentation method using multi-scale line detection
- (2012) Uyen T.V. Nguyen et al. PATTERN RECOGNITION
- Vessel segmentation and width estimation in retinal images using multiscale production of matched filter responses
- (2011) Qin Li et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automated Detection of Dark and Bright Lesions in Retinal Images for Early Detection of Diabetic Retinopathy
- (2011) Usman M. Akram et al. JOURNAL OF MEDICAL SYSTEMS
- An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters
- (2011) U. Rajendra Acharya et al. JOURNAL OF MEDICAL SYSTEMS
- Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
- (2011) Xinge You et al. PATTERN RECOGNITION
- Retinal vessel segmentation using a probabilistic tracking method
- (2011) Yi Yin et al. PATTERN RECOGNITION
- 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
- Statistical-Based Tracking Technique for Linear Structures Detection: Application to Vessel Segmentation in Medical Images
- (2010) Mouloud Adel et al. IEEE SIGNAL PROCESSING LETTERS
- FABC: Retinal Vessel Segmentation Using AdaBoost
- (2010) C A Lupascu et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- 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
- Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review
- (2010) Oliver Faust et al. JOURNAL OF MEDICAL SYSTEMS
- Algorithms for digital image processing in diabetic retinopathy
- (2009) R.J. Winder et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Multi-scale retinal vessel segmentation using line tracking
- (2009) Marios Vlachos et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- A Modified Matched Filter With Double-Sided Thresholding for Screening Proliferative Diabetic Retinopathy
- (2009) Lei Zhang et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Parallel Multiscale Feature Extraction and Region Growing: Application in Retinal Blood Vessel Detection
- (2009) M.A. Palomera-Perez et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Information Fusion for Diabetic Retinopathy CAD in Digital Color Fundus Photographs
- (2009) M. Niemeijer et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Maximum likelihood estimation of vessel parameters from scale space analysis
- (2009) J. Ng et al. IMAGE AND VISION COMPUTING
- A Decision Support System for Automatic Screening of Non-proliferative Diabetic Retinopathy
- (2009) Ahmed Wasif Reza et al. JOURNAL OF MEDICAL SYSTEMS
- Unsupervised Fuzzy Based Vessel Segmentation In Pathological Digital Fundus Images
- (2009) Giri Babu Kande et al. JOURNAL OF MEDICAL SYSTEMS
- Identification of different stages of diabetic retinopathy using retinal optical images
- (2007) Wong Li Yun et al. INFORMATION SCIENCES
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