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

Feng Zhao; Beibei Zhong; Hanqiang Liu

doi:10.3788/LOP202259.1810002

Laser & Optoelectronics Progress, Volume. 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

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

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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

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Paper Information

Category: Image Processing

Received: Jun. 7, 2021

Accepted: Jul. 20, 2021

Published Online: Aug. 22, 2022

The Author Email: Zhong Beibei (2871188907@qq.com)

DOI:10.3788/LOP202259.1810002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology