BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation
Published 2021 View Full Article
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Title
BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation
Authors
Keywords
Deep learning, Fundus images, Loss functions, Residual blocks, Vessel segmentation
Journal
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 205, Issue -, Pages 106070
Publisher
Elsevier BV
Online
2021-04-02
DOI
10.1016/j.cmpb.2021.106070
References
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Related references
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- A Novel Vessel Segmentation Algorithm for Pathological Retina Images Based on the Divergence of Vector Fields
- (2008) B.S.Y. Lam et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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