[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/hin/jjopti/3738049.html
   My bibliography  Save this article

Jaya Algorithm Guided Procedure to Segment Tumor from Brain MRI

Author

Listed:
  • Suresh Chandra Satapathy
  • Venkatesan Rajinikanth
Abstract
Brain abnormality is a cause for the chief risk factors in human society with larger morbidity rate. Identification of tumor in its early stage is essential to provide necessary treatment procedure to save the patient. In this work, Jaya Algorithm (JA) and Otsu’s Function (OF) guided method is presented to mine the irregular section of brain MRI recorded with Flair and T2 modality. This work implements a two-step process to examine the brain tumor from the axial, sagittal, and coronal views of the two-dimensional (2D) MRI slices. This paper presents a detailed evaluation of thresholding procedure with varied threshold levels ( Th=2,3,4,5 ), skull stripping process before/after the thresholding practice, and the tumor extraction based on the Chan-Vese approach. Superiority of JA is confirmed among other prominent heuristic approaches found in literature. The outcome of implemented study confirms that Jaya Algorithm guided method is capable of presenting superior values of Jaccard-Index, Dice-Coefficient, sensitivity, specificity, accuracy, and precision on the BRATS 2015 dataset.

Suggested Citation

  • Suresh Chandra Satapathy & Venkatesan Rajinikanth, 2018. "Jaya Algorithm Guided Procedure to Segment Tumor from Brain MRI," Journal of Optimization, Hindawi, vol. 2018, pages 1-12, November.
    • Handle: RePEc:hin:jjopti:3738049
    DOI: 10.1155/2018/3738049
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/7179/2018/3738049.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/7179/2018/3738049.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/3738049?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
    ---><---

    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:hin:jjopti:3738049. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.