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Spectral band selection for mitosis detection in histopathology


  • Irshad, Humayun
  • Gouaillard, Alexandre
  • Roux, Ludovic
  • Racoceanu, Daniel


This study aims at evaluating the accuracy of mitosis detection on multispectral histopathological images by developing a solution specifically designed to take advantage of multi-spectral information. The proposed framework includes a selection of spectral bands and focal plane, detection of candidate mitotic regions, computation of morphological & mul-tispectral statistical features (MMSF) and study of different state-of-the-art classification methods for mitosis classification. This framework achieved 74% TPR, 76% PPV and 74% F-Measure on MITOS dataset. Our results indicate that selected multispectral bands contain discriminant information for mitotic figures, being therefore a very promising exploration area to improve the quality of the diagnosis assistance in histopathology.

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  • Irshad, Humayun & Gouaillard, Alexandre & Roux, Ludovic & Racoceanu, Daniel, 2017. "Spectral band selection for mitosis detection in histopathology," Working Paper 221826, Harvard University OpenScholar.
  • Handle: RePEc:qsh:wpaper:221826

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