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) > Thesis
Depositing User: MHAH Hazlee Abdul Halil
Date Deposited: 29 Apr 2009 02:24
Last Modified: 31 May 2017 05:06
URI: http://eprints.usm.my/id/eprint/9636

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