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 Zhong1、*, 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
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    References(35)

    [4] Tian F, Li Y, Wang J. Retinal blood vessel segmentation based on multi-scale wavelet transform fusion[J]. Acta Optica Sinica, 41, 0410001(2021).

    [9] Osareh A, Shadgar B. Automatic blood vessel segmentation in color images of retina[J]. Iranian Journal of Science and Technology, Transaction B: Engineering, 33, 191-206(2009).

    [11] Zhang S, Li Y P. Retinal vascular image segmentation based on improved HED network[J]. Acta Optica Sinica, 40, 0610002(2020).

    [16] Lü X W, Shao F, Xiong Y M et al. Retinal vessel segmentation method based on two-stream networks[J]. Acta Optica Sinica, 40, 0410002(2020).

    [33] Roychowdhury S, Koozekanani D D, Parhi K K. Blood vessel segmentation of fundus images by major vessel extraction and subimage classification[J]. IEEE Journal of Biomedical and Health Informatics, 19, 1118-1128(2015).

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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

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