Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms

L. B. van den Oever, W. A. van Veldhuizen, Ludo J. Cornelissen, D. S. Spoor, T. P. Willems, G. Kramer, T. Stigter, M. Rook, A. P. G. Crijns, Matthijs Oudkerk, Raymond N. J. Veldhuis, G. H. de Bock, Peter M. A. van Ooijen. Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms. J. Digital Imaging, 35(2):240-247, 2022. [doi]

@article{OeverVCSWKSRCOV22,
  title = {Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms},
  author = {L. B. van den Oever and W. A. van Veldhuizen and Ludo J. Cornelissen and D. S. Spoor and T. P. Willems and G. Kramer and T. Stigter and M. Rook and A. P. G. Crijns and Matthijs Oudkerk and Raymond N. J. Veldhuis and G. H. de Bock and Peter M. A. van Ooijen},
  year = {2022},
  doi = {10.1007/s10278-021-00573-9},
  url = {https://doi.org/10.1007/s10278-021-00573-9},
  researchr = {https://researchr.org/publication/OeverVCSWKSRCOV22},
  cites = {0},
  citedby = {0},
  journal = {J. Digital Imaging},
  volume = {35},
  number = {2},
  pages = {240-247},
}