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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| Format: | Thesis |
| Language: | English |
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2008
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| Online Access: | http://eprints.usm.my/9636/ |
| Abstract | Abstract here |
| _version_ | 1855631277533691904 |
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| author | Mat Noor, Nor Rizuan |
| author_facet | Mat Noor, Nor Rizuan |
| author_sort | Mat Noor, Nor Rizuan |
| 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.
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| first_indexed | 2025-10-17T07:56:27Z |
| format | Thesis |
| id | usm-9636 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-10-17T07:56:27Z |
| publishDate | 2008 |
| record_format | EPrints |
| record_pdf | Restricted |
| 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]. |
| thesis_level | Master |
| 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/ |
| work_keys_str_mv | AT matnoornorrizuan designofanautomatedslidecapturingsystemwithadspbasedautomaticfeaturesextractionofthinprepimagesforcervicalcancerrc280u8r6272008frb |