Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation. Kassim, Y. M., Glinskii, O. V., Glinsky, V. V., Huxley, V. H., Guidoboni, G., & Palaniappan, K. In 2019 IEEE International Conference on Image Processing, ICIP 2019, Taipei, Taiwan, September 22-25, 2019, pages 1445–1449, 2019. IEEE.
Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/icip/KassimGGHGP19,
  author       = {Yasmin M. Kassim and
                  Olga V. Glinskii and
                  Vladislav V. Glinsky and
                  Virginia H. Huxley and
                  Giovanna Guidoboni and
                  Kannappan Palaniappan},
  title        = {Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate
                  Blood Vessel Segmentation},
  booktitle    = {2019 {IEEE} International Conference on Image Processing, {ICIP} 2019,
                  Taipei, Taiwan, September 22-25, 2019},
  pages        = {1445--1449},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/ICIP.2019.8803084},
  doi          = {10.1109/ICIP.2019.8803084},
  timestamp    = {Wed, 11 Dec 2019 16:30:23 +0100},
  biburl       = {https://dblp.org/rec/conf/icip/KassimGGHGP19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0