IDEAS home Printed from https://ideas.repec.org/a/rau/journl/v7y2013i2p300-308.html
   My bibliography  Save this article

Study Of Neurobiological Images Based On Ontologies Used In Super-Resolution Algorithms

Author

Listed:
  • Andreea-Mihaela Pintilie

    (University “Politehnica” of Bucharest)

  • Costin-Anton Boiangiu

    (University “Politehnica” of Bucharest)

Abstract

This paper focuses on the applicability of ontologies in medical image processing area. Techniques for automatically describing medical images in a medical language that doctors can operate with are presented. Super resolution algorithms are also highlighted in order to prove their superiority over usual interpolation methods on medical images. At the end, a set of experimental results regarding ontologies are offered.

Suggested Citation

  • Andreea-Mihaela Pintilie & Costin-Anton Boiangiu, 2013. "Study Of Neurobiological Images Based On Ontologies Used In Super-Resolution Algorithms," Romanian Economic Business Review, Romanian-American University, vol. 7(2), pages 300-308, December.
    • Handle: RePEc:rau:journl:v:7:y:2013:i:2:p:300-308
    as

    Download full text from publisher

    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI13/JISOM-WI13-A12.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexandra Ghecenco, 2014. "Principles Of Image Deblurring," Romanian Economic Business Review, Romanian-American University, vol. 8(2), pages 488-497, December.

    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:rau:journl:v:7:y:2013:i:2:p:300-308. 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: Alex Tabusca (email available below). General contact details of provider: https://edirc.repec.org/data/firauro.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.