CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning

Juan Wang 0002, Bin Xia 0006. CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning. Multimedia Tools Appl., 82(11):16455-16477, May 2023. [doi]

@article{WangX23-9,
  title = {CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning},
  author = {Juan Wang 0002 and Bin Xia 0006},
  year = {2023},
  month = {May},
  doi = {10.1007/s11042-022-14183-2},
  url = {https://doi.org/10.1007/s11042-022-14183-2},
  researchr = {https://researchr.org/publication/WangX23-9},
  cites = {0},
  citedby = {0},
  journal = {Multimedia Tools Appl.},
  volume = {82},
  number = {11},
  pages = {16455-16477},
}