• Login
    View Item 
    •   Research Bank Home
    • Study Areas
    • Computing
    • Computing Journal Articles
    • View Item
    •   Research Bank Home
    • Study Areas
    • Computing
    • Computing Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Melanoma Diagnosis by the Use of Wavelet Analysis based on Morphological Operators

    Fassihi, Nima; Shanbehzadeh, Jamshid; Sarrafzadeh, Hossein; Ghasemi, Elham

    Thumbnail
    Share
    View fulltext online
    Melanoma Diagnosis by the Use of Wavelet Analysis based on Morphological Operators.pdf (2.030Mb)
    Date
    2011-03
    Citation:
    Fassihi, N., Shanbehzadeh, J., Sarrafzadeh, A., and Ghasemi, E. (2011). Melanoma Diagnosis by the Use of Wavelet Analysis based on Morphological Operators. Proceedings of the International MultiConference of Engineers and Computer Scientists.(Ed.), (pp.193-196). 1.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/3051
    Abstract
    Skin melanoma is the most dangerous type of skin cancer which is curable if diagnosed at the right time.. Drawing distinction between melanoma and mole is a difficult task and needs detailed laboratory tests. Utilizing morphologic operators in segmenting and wavelet analysis in order to extract the features has culminated in better result in melanoma diagnosis. This paper employs coefficients of wavelet decomposition to extract image's features. Melanoma classification is carried out by using the variance and mean of wavelet coefficients of images as the inputs of neural network. Results show 90% ability In distinction between benign and malignant lesions.
    Keywords:
    feature extraction, skin melanoma, segmentation, wavelet transform
    ANZSRC Field of Research:
    0803 Computer Software, 111202 Cancer Diagnosis
    Copyright Holder:
    International MultiConference of Engineers and Computer Scientists.
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
    Metadata
    Show detailed record
    This item appears in
    • Computing Journal Articles [50]

    Library home
    Send Feedback
    Research publications
    Unitec
    Moodle
    © Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142
     

     

    Usage

    Downloads, last 12 months
    12
     
     

    Usage Statistics

    For this itemFor the Research Bank

    Share

    About

    About Research BankResearch at UnitecContact us

    Help for authors  

    How to add researchOpen Access GuideVersions Toolkit

    Register for updates  

    LoginRegister

    Browse Research Bank  

    EverywhereAcademic study areasAuthorDateSubjectTitleType of researchSupervisorThis CollectionAuthorDateSubjectTitleType of researchSupervisor

    Library home
    Send Feedback
    Research publications
    Unitec
    Moodle
    © Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142