Bias in Hotelling Observer Performance Computed from Finite Data.

@article{Kupinski2007BiasIH,
  title={Bias in Hotelling Observer Performance Computed from Finite Data.},
  author={Matthew A. Kupinski and Eric Clarkson and Jacob Y Hasterman},
  journal={Proceedings of SPIE--the International Society for Optical Engineering},
  year={2007},
  volume={6515 65150S},
  pages={
          1-7
        }
}
An observer performing a detection task analyzes an image and produces a single number, a test statistic, for that image. This test statistic represents the observers "confidence" that a signal (e.g., a tumor) is present. The linear observer that maximizes the test-statistic SNR is known as the Hotelling observer. Generally, computation of the Hotelling SNR, or Hotelling trace, requires the inverse of a large covariance matrix. Recent developments have resulted in methods for the estimation and… CONTINUE READING
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