PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data

Ahmed Mohammed, Ivar Farup, Marius Pedersen, Sule Yildirim, Øistein Hovde. PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data. Computer Vision and Image Understanding, 201:103062, 2020. [doi]

@article{MohammedFPYH20,
  title = {PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data},
  author = {Ahmed Mohammed and Ivar Farup and Marius Pedersen and Sule Yildirim and Øistein Hovde},
  year = {2020},
  doi = {10.1016/j.cviu.2020.103062},
  url = {https://doi.org/10.1016/j.cviu.2020.103062},
  researchr = {https://researchr.org/publication/MohammedFPYH20},
  cites = {0},
  citedby = {0},
  journal = {Computer Vision and Image Understanding},
  volume = {201},
  pages = {103062},
}