IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0210463.html
   My bibliography  Save this article

Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment

Author

Listed:
  • Matthew C Kim
  • Kazunori Okada
  • Alexander M Ryner
  • Abdou Amza
  • Zerihun Tadesse
  • Sun Y Cotter
  • Bruce D Gaynor
  • Jeremy D Keenan
  • Thomas M Lietman
  • Travis C Porco

Abstract

Background/aims: Trachoma programs base treatment decisions on the community prevalence of the clinical signs of trachoma, assessed by direct examination of the conjunctiva. Automated assessment could be more standardized and more cost-effective. We tested the hypothesis that an automated algorithm could classify eyelid photographs better than chance. Methods: A total of 1,656 field-collected conjunctival images were obtained from clinical trial participants in Niger and Ethiopia. Images were scored for trachomatous inflammation—follicular (TF) and trachomatous inflammation—intense (TI) according to the simplified World Health Organization grading system by expert raters. We developed an automated procedure for image enhancement followed by application of a convolutional neural net classifier for TF and separately for TI. One hundred images were selected for testing TF and TI, and these images were not used for training. Results: The agreement score for TF and TI tasks for the automated algorithm relative to expert graders was κ = 0.44 (95% CI: 0.26 to 0.62, P

Suggested Citation

  • Matthew C Kim & Kazunori Okada & Alexander M Ryner & Abdou Amza & Zerihun Tadesse & Sun Y Cotter & Bruce D Gaynor & Jeremy D Keenan & Thomas M Lietman & Travis C Porco, 2019. "Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-12, February.
    • Handle: RePEc:plo:pone00:0210463
    DOI: 10.1371/journal.pone.0210463
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0210463
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0210463&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0210463?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Matthew J Burton & David C W Mabey, 2009. "The Global Burden of Trachoma: A Review," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 3(10), pages 1-7, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yvonne Pannekoek & Veerle Dickx & Delphine S A Beeckman & Keith A Jolley & Wendy C Keijzers & Evangelia Vretou & Martin C J Maiden & Daisy Vanrompay & Arie van der Ende, 2010. "Multi Locus Sequence Typing of Chlamydia Reveals an Association between Chlamydia psittaci Genotypes and Host Species," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-9, December.

    More about this item

    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:plo:pone00:0210463. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.