• Login
    View Item 
    •   DSpace Home
    • The Library
    • Conference Papers
    • View Item
    •   DSpace Home
    • The Library
    • Conference Papers
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Implementation of an improved cellular neural network algorithm for brain tumor detection

    No Thumbnail [100%x80]
    View/Open
    7C4.pdf (1.020Mb)
    Date
    2012-02-27
    Author
    Azian Azamimi, Abdullah
    Bu, Sze Chize
    Nishio, Yoshifumi
    Metadata
    Show full item record
    Abstract
    Image processing plays an important role in medical diagnosis. In this paper, a brain tumor detection method based on cellular neural networks (CNNs) is proposed. Brain tumor is an abnormal growth of cells inside the skull. To examine the location of tumor in the brain, Magnetic Resonance Imaging (MRI) is used. Radiologists will evaluate the grey scale MRI images. This procedure is really time and energy consuming. To overcome this problem, an automated detection method for brain tumor using CNN is developed. By using the template in the CNN simulator, output of the desired image can be performed. Therefore, many templates were combined in order to obtain an accurate result that will help radiologists detecting the tumor in brain images easily.
    URI
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6178990
    http://dspace.unimap.edu.my/123456789/21399
    Collections
    • Conference Papers [2599]
    • Azian Azamimi Abdullah [33]

    Atmire NV

    Perpustakaan Tuanku Syed Faizuddin Putra (PTSFP) | Send Feedback
     

     

    Browse

    All of UniMAP Library Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Atmire NV

    Perpustakaan Tuanku Syed Faizuddin Putra (PTSFP) | Send Feedback
     

     

    NoThumbnail