Statistical validation metric for accuracy assessment in medical image segmentation

@article{Popovic2007StatisticalVM,
  title={Statistical validation metric for accuracy assessment in medical image segmentation},
  author={A. Popovic and M. Fuente and M. Engelhardt and K. Radermacher},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2007},
  volume={2},
  pages={169-181}
}
  • A. Popovic, M. Fuente, +1 author K. Radermacher
  • Published 2007
  • Computer Science
  • International Journal of Computer Assisted Radiology and Surgery
  • AbstractObjective Validation of medical image segmentation algorithms is an open question, considering variance of individual pathologies and the related clinical requirements for accuracy. [...] Key Method Although it is oriented to the accuracy measurement it is also closely related to the robustness of a method. Results Features of the metrics are analyzed alongside their medical impact. A set of numerical simulations is performed in order to compare the proposed metric with standardly used discrepancy…Expand Abstract
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