Multi-Scale Residual U-Net Fundus Blood Vessel Segmentation Based on Attention Mechanism

Feng Zhao; Beibei Zhong; Hanqiang Liu

doi:10.3788/LOP202259.1810002

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 18 >Page 1810002 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 18, 1810002 (2022)

Multi-Scale Residual U-Net Fundus Blood Vessel Segmentation Based on Attention Mechanism

Feng Zhao¹, Beibei Zhong^1、*, and Hanqiang Liu²

Author Affiliations

¹School of Communication and Information Engineering & School of Artificial Intelligence, Xi’an University of Posts and Telecommunications, Xi’an 710121, Shaanxi , China

²School of Computer Science, Shaanxi Normal University, Xi’an , Shaanxi 710119, China

show less

DOI: 10.3788/LOP202259.1810002 Cite this Article Set citation alerts

Feng Zhao, Beibei Zhong, Hanqiang Liu. Multi-Scale Residual U-Net Fundus Blood Vessel Segmentation Based on Attention Mechanism[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810002 Copy Citation Text

show less

Cited By

Article index updated: May. 27, 2024

Citation counts are provided from Researching.

The article is cited by 2 article(s) from Researching.

Feng Zhao, Beibei Zhong, Hanqiang Liu. Multi-Scale Residual U-Net Fundus Blood Vessel Segmentation Based on Attention Mechanism[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810002

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information