S-UNet: A Bridge-Style U-Net Framework With a Saliency Mechanism for Retinal Vessel Segmentation

S-UNet: A Bridge-Style U-Net Framework With a Saliency Mechanism for Retinal Vessel Segmentation

Deep learning methods have been successfully applied in medical image classification, segmentation and detection tasks. The U-Net architecture has been widely applied for these tasks. In this paper, we propose a U-Net variant for improved vessel segmentation in retinal fundus images. Firstly, we des...

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Bibliographic Details
Main Authors: Jingfei Hu, Hua Wang, Shengbo Gao, Mingkun Bao, Tao Liu, Yaxing Wang, Jicong Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
retinal fundus image
saliency mechanism
vessel segmentation
Online Access:https://ieeexplore.ieee.org/document/8842560/

Internet

https://ieeexplore.ieee.org/document/8842560/

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