• Laser & Optoelectronics Progress
  • Vol. 58, Issue 14, 1417003 (2021)
Liang Wang1, Chunxiao Chen1、*, Xue Fu1, and Lin Wang2
Author Affiliations
  • 1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China
  • 2Shanghai Shengwei Medical Technology Co., Ltd., Shanghai 201321, China
  • show less
    DOI: 10.3788/LOP202158.1417003 Cite this Article Set citation alerts
    Liang Wang, Chunxiao Chen, Xue Fu, Lin Wang. Retinal Vessel Segmentation of Prematurity Infants Based on FDMU-net[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1417003 Copy Citation Text show less
    References

    [1] Liu L. Study on the automated detection of retinal diseases based on deep neural networks[D], 59-72(2019).

    [2] Goldenberg R L, Culhane J F, Iams J D et al. Preterm birth 1: epidemiology and causes of preterm birth[J]. Obstetric Anesthesia Digest, 29, 6-7(2009).

    [3] Nisha K L, Sreelekha G, Sathidevi P S et al. A computer-aided diagnosis system for plus disease in retinopathy of prematurity with structure adaptive segmentation and vessel based features[J]. Computerized Medical Imaging and Graphics, 74, 72-94(2019).

    [4] Meng L, Liu J, Cao H et al. Retinal vessel segmentation based on Frangi filter and Otsu algorithm[J]. Laser & Optoelectronics Progress, 56, 181004(2019).

    [5] Nguyen U T V, Bhuiyan A, Park L A F et al. An effective retinal blood vessel segmentation method using multi-scale line detection[J]. Pattern Recognition, 46, 703-715(2013).

    [6] Fraz M M, Barman S A, Remagnino P et al. An approach to localize the retinal blood vessels using bit planes and centerline detection[J]. Computer Methods and Programs in Biomedicine, 108, 600-616(2012).

    [7] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. //Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).

    [8] Wu C Y, Yi B S, Zhang Y G et al. Retinal vessel image segmentation based on improved convolutional neural network[J]. Acta Optica Sinica, 38, 1111004(2018).

    [9] Gao X R, Cai Y H, Qiu C Y et al. Retinal blood vessel segmentation based on the Gaussian matched filter and U-net[C]. //2017 10th International Congress on Image and Signal Processing, Bio Medical Engineering and Informatics (CISP-BMEI), October 14-16, 2017, Shanghai, China., 1-5(2017).

    [10] Huang G, Liu Z, van der Maaten L et al. Densely connected convolutional networks[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 2261-2269(2017).

    [11] Liang L Y, Zhang T T, He W. Head pose estimation based on multi-scale convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 131003(2019).

    [12] Zhang T Y, Suen C Y. A fast parallel algorithm for thinning digital patterns[J]. Communications of the ACM, 27, 236-239(1984).

    [13] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 318-327(2020).

    [14] Staal J, Abramoff M D, Niemeijer M et al. Ridge-based vessel segmentation in color images of the retina[J]. IEEE Transactions on Medical Imaging, 23, 501-509(2004).

    [15] Hoover A D, Kouznetsova V, Goldbaum M. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response[J]. IEEE Transactions on Medical Imaging, 19, 203-210(2000).

    [16] Kingma D P, Ba L J. Adam: a method for stochastic optimization[EB/OL]. (2014-12-22)[2020-08-05]. https://arxiv.org/abs/1412.6980v2

    [17] Zheng T Y, Tang C, Lei Z K. Multi-scale retinal vessel segmentation based on fully convolutional neural network[J]. Acta Optica Sinica, 39, 0211002(2019).

    [18] Zhao S, Liu T, Liu B W et al. Attention residual convolution neural network based on U-net (Attention ResU-Net) for retina vessel segmentation[J]. IOP Conference Series: Earth and Environmental Science, 440, 032138(2020).

    Liang Wang, Chunxiao Chen, Xue Fu, Lin Wang. Retinal Vessel Segmentation of Prematurity Infants Based on FDMU-net[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1417003
    Download Citation