Three validation metrics for automated probabilistic image segmentation of brain tumours.

@article{Zou2004ThreeVM,
  title={Three validation metrics for automated probabilistic image segmentation of brain tumours.},
  author={Kelly H. Zou and William M. Wells and Ron Kikinis and Simon K. Warfield},
  journal={Statistics in medicine},
  year={2004},
  volume={23 8},
  pages={1259-82}
}
The validity of brain tumour segmentation is an important issue in image processing because it has a direct impact on surgical planning. We examined the segmentation accuracy based on three two-sample validation metrics against the estimated composite latent gold standard, which was derived from several experts' manual segmentations by an EM algorithm. The distribution functions of the tumour and control pixel data were parametrically assumed to be a mixture of two beta distributions with… CONTINUE READING