IDEAS home Printed from https://ideas.repec.org/p/qsh/wpaper/221826.html
   My bibliography  Save this paper

Spectral band selection for mitosis detection in histopathology

Author

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

Abstract

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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://scholar.harvard.edu/humayun/node/221826
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Absorption;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:qsh:wpaper:221826. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Richard Brandon (email available below). General contact details of provider: https://edirc.repec.org/data/cbrssus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.