M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications

Tim Laibacher, Tillman Weyde, Sepehr Jalali. M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019. pages 115-124, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{LaibacherWJ19,
  title = {M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications},
  author = {Tim Laibacher and Tillman Weyde and Sepehr Jalali},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPRW_2019/html/BIC/Laibacher_M2U-Net_Effective_and_Efficient_Retinal_Vessel_Segmentation_for_Real-World_Applications_CVPRW_2019_paper.html},
  researchr = {https://researchr.org/publication/LaibacherWJ19},
  cites = {0},
  citedby = {0},
  pages = {115-124},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}