Practical quantification of necrosis in histological whole-slide images

Comput Med Imaging Graph. 2013 Jun;37(4):313-22. doi: 10.1016/j.compmedimag.2013.05.002. Epub 2013 Jun 21.


Since the histological quantification of necrosis is a common task in medical research and practice, we evaluate different image analysis methods for quantifying necrosis in whole-slide images. In a practical usage scenario, we assess the impact of different classification algorithms and feature sets on both accuracy and computation time. We show how a well-chosen combination of multiresolution features and an efficient postprocessing step enables the accurate quantification necrosis in gigapixel images in less than a minute. The results are general enough to be applied to other areas of histological image analysis as well.

Keywords: Histological image analysis; Necrosis quantification; Pattern recognition; Whole-slide imaging.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Artificial Intelligence*
  • Humans
  • Image Enhancement / methods*
  • Image Interpretation, Computer-Assisted / methods*
  • Microscopy / methods*
  • Necrosis / pathology*
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity