Retinal vessel segmentation with constrained-based nonnegative matrix factorization and 3D modified attention U-Net

Retinal vessel segmentation with constrained-based nonnegative matrix factorization and 3D modified attention U-Net

Abstract Due to the complex morphology and characteristic of retinal vessels, it remains challenging for most of the existing algorithms to accurately detect them. This paper proposes a supervised retinal vessels extraction scheme using constrained-based nonnegative matrix factorization (NMF) and th...

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Bibliographic Details
Main Authors: Yang Yu, Hongqing Zhu
Format: Article
Language:English
Published: SpringerOpen 2021-01-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Nonnegative matrix factorization
Retinal vessel segmentation
Within-class and between-class constrained
3 Dimension
Attention U-Net
Online Access:https://doi.org/10.1186/s13640-021-00546-6

Internet

https://doi.org/10.1186/s13640-021-00546-6

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