Design Of An Automated Slide Capturing System With A DSP-Based Automatic Features Extraction Of Thinprep Images For Cervical Cancer [RC280.U8 R627 2008 f rb].

Mat Noor, Nor Rizuan (2008) Design Of An Automated Slide Capturing System With A DSP-Based Automatic Features Extraction Of Thinprep Images For Cervical Cancer [RC280.U8 R627 2008 f rb]. Masters thesis, Universiti Sains Malaysia.

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    Abstract

    Kaedah konvensional untuk mengesan kanser pangkal rahim melibatkan pakar patologi dan sitologis memeriksa slaid palitan ThinPrep® di bawah mikroskop cahaya di bawah pembesaran 100X dan 400X. Conventional method of cervical cancer screening involves of pathologist or cytologist examining the ThinPrep® cervical smear slide under normal light microscope with 100X and 400X magnification.

    Item Type: Thesis (Masters)
    Subjects: R Medicine > RC Internal medicine > RC254-282 Neoplasms. Tumors. Oncology (including Cancer)
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering)
    Depositing User: MHAH Hazlee Abdul Halil
    Date Deposited: 29 Apr 2009 10:24
    Last Modified: 13 Jul 2013 12:12
    URI: http://eprints.usm.my/id/eprint/9636

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