SoftSTAPLE: Truth and performance-level estimation from probabilistic segmentations

  title={SoftSTAPLE: Truth and performance-level estimation from probabilistic segmentations},
  author={Neil I. Weisenfeld and Simon K. Warfield},
  journal={2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
We introduce here a new algorithm, called softSTAPLE, for computing estimates of segmentation generator performance and a reference standard segmentation from a collection of probabilistic segmentations of an image. These tasks have previously been investigated for segmentations with discrete label values, but few techniques exploit the information available in probabilistic segmentations. Our new method may be used to evaluate classification algorithms, to fuse “weak” classifiers in a… CONTINUE READING

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