Paramorama: visual parameter optimisation for biomedical image processing

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We developed a method for visual parameter optimisation that:

  • Enables users to optimise multiple parameters for multiple images;
  • Achieve an understanding of underlying algorithms; and
  • Supports exploration of relationships between input and output.
Our approach enabled a domain expert to identify suitable parameter values for colour deconvolution of stained histopathology images and enabled a breakthrough in algorithm understanding.
Release Date:
November, 2014
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Java
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Project development

Institution: University of Leeds