Multi-level deep supervised networks for retinal vessel segmentation
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Title
Multi-level deep supervised networks for retinal vessel segmentation
Authors
Keywords
Fully convolutional network, Deep supervision, Retinal image, Vessel segmentation
Journal
International Journal of Computer Assisted Radiology and Surgery
Volume 12, Issue 12, Pages 2181-2193
Publisher
Springer Nature
Online
2017-06-02
DOI
10.1007/s11548-017-1619-0
References
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Related references
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- An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation
- (2012) Muhammad Moazam Fraz et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- An approach to localize the retinal blood vessels using bit planes and centerline detection
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- Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
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- Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction
- (2010) M S Miri et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- FABC: Retinal Vessel Segmentation Using AdaBoost
- (2010) C A Lupascu et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
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- (2010) D Marín et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- An Active Contour Model for Segmenting and Measuring Retinal Vessels
- (2009) B. Al-Diri et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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