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].

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 Thi...

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Main Author: Mat Noor, Nor Rizuan
Format: Thesis
Language:English
Published: 2008
Subjects:
Online Access:http://eprints.usm.my/9636/
http://eprints.usm.my/9636/1/DESIGN_OF_AN_AUTOMATED_SLIDE_CAPTURING_SYSTEM_WITH_A_DSP-BASED_AUTOMATIC_FEATURES_EXTRACTION_OF_THINPREP%C2%AE_IMAGES_FOR_CERVICAL_CANCER.pdf
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author Mat Noor, Nor Rizuan
author_facet Mat Noor, Nor Rizuan
author_sort Mat Noor, Nor Rizuan
building USM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T15:30:06Z
format Thesis
id usm-9636
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:30:06Z
publishDate 2008
recordtype eprints
repository_type Digital Repository
spelling usm-96362017-05-31T05:06:41Z http://eprints.usm.my/9636/ 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 RC254-282 Neoplasms. Tumors. Oncology (including Cancer) 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. 2008-04 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/9636/1/DESIGN_OF_AN_AUTOMATED_SLIDE_CAPTURING_SYSTEM_WITH_A_DSP-BASED_AUTOMATIC_FEATURES_EXTRACTION_OF_THINPREP%C2%AE_IMAGES_FOR_CERVICAL_CANCER.pdf 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.
spellingShingle RC254-282 Neoplasms. Tumors. Oncology (including Cancer)
Mat Noor, Nor Rizuan
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].
title 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].
title_full 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].
title_fullStr 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].
title_full_unstemmed 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].
title_short 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].
title_sort 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].
topic RC254-282 Neoplasms. Tumors. Oncology (including Cancer)
url http://eprints.usm.my/9636/
http://eprints.usm.my/9636/1/DESIGN_OF_AN_AUTOMATED_SLIDE_CAPTURING_SYSTEM_WITH_A_DSP-BASED_AUTOMATIC_FEATURES_EXTRACTION_OF_THINPREP%C2%AE_IMAGES_FOR_CERVICAL_CANCER.pdf