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.1252 工程科学学报,第43卷,第9期 5-20)[2021-6-101.htps://arxiv.org/abs/1804.03999 Recognit,,2019,88:331 [46]Li L Z,Verma M,Nakashima Y,et al.IterNet:retinal image [50]Niemeijer M,Staal J,van Ginneken B,et al.Comparative study of segmentation utilizing structural redundancy in vessel networks / retinal vessel segmentation methods on a new publicly available 2020 IEEE Winter Conference on Applications of Computer Vision database /l Proceedings of SPIE-The International Society for (WACV).Snowmass,2020:3645 Optical Engineering,2004,5370 1:648 [47]Jin Q G,Meng Z P.Pham T D,et al.DUNet:A deformable [51]Hoover A D,Kouznetsova V,Goldbaum M.Locating blood network for retinal vessel segmentation.Knowl Based Syst,2019, vessels in retinal images by piecewise threshold probing of a 178:149 matched filter response.IEEE Trans Med Imaging,2000,19(3): [48]Wang B,Qiu S,He H G.Dual encoding U-net for retinal vessel 203 segmentation /Medical Image Computing and Computer Assisted [52]Owen C G,Rudnicka A R,Mullen R,et al.Measuring retinal Intervention-MICCA/2019.Shenzhen,2019:84 vessel tortuosity in 10-year-old children:Validation of the [49]Wang X H,Jiang X D,Ren J F.Blood vessel segmentation from computer-assisted image analysis of the retina(CAIAR)program fundus image by a cascade classification framework.Pattern Imvest Ophthalmol Vis Sci,2009,50(5):20045-20) [2021-6-10]. https://arxiv.org/abs/1804.03999 Li  L  Z,  Verma  M,  Nakashima  Y,  et  al.  IterNet:  retinal  image segmentation utilizing structural redundancy in vessel networks // 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). Snowmass, 2020: 3645 [46] Jin  Q  G,  Meng  Z  P,  Pham  T  D,  et  al.  DUNet:  A  deformable network for retinal vessel segmentation. Knowl Based Syst, 2019, 178: 149 [47] Wang B, Qiu S, He H G. Dual encoding U-net for retinal vessel segmentation // Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Shenzhen, 2019: 84 [48] Wang X H, Jiang X D, Ren J F. Blood vessel segmentation from fundus  image  by  a  cascade  classification  framework. Pattern [49] Recognit, 2019, 88: 331 Niemeijer M, Staal J, van Ginneken B, et al. Comparative study of retinal  vessel  segmentation  methods  on  a  new  publicly  available database  // Proceedings of SPIE ‒The International Society for Optical Engineering, 2004, 5370 I: 648 [50] Hoover  A  D,  Kouznetsova  V,  Goldbaum  M.  Locating  blood vessels  in  retinal  images  by  piecewise  threshold  probing  of  a matched  filter  response. IEEE Trans Med Imaging,  2000,  19(3): 203 [51] Owen  C  G,  Rudnicka  A  R,  Mullen  R,  et  al.  Measuring  retinal vessel  tortuosity  in  10-year-old  children:  Validation  of  the computer-assisted image analysis of the retina (CAIAR) program. Invest Ophthalmol Vis Sci, 2009, 50(5): 2004 [52] · 1252 · 工程科学学报,第 43 卷,第 9 期
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