Statistical validation metric for accuracy assessment in medical image segmentation

@article{Popovic2007StatisticalVM,
  title={Statistical validation metric for accuracy assessment in medical image segmentation},
  author={Aleksandra Popovic and Mat{\'i}as de la Fuente and Martin Engelhardt and Klaus Radermacher},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2007},
  volume={2},
  pages={169-181}
}
Objective Validation of medical image segmentation algorithms is an open question, considering variance of individual pathologies and the related clinical requirements for accuracy. In this paper, we propose a validation metric capable to distinguish between an over and under-segmentation and account for different clinical applications. Materials and methods In this paper, we propose a validation metric representing a tradeoff between sensitivity and specificity. The metric has an advantage of… CONTINUE READING
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A framework for evaluating image segmentation algorithms

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