Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network.
Statistically, 471,000 new cases of cervical cancer are reported in Malaysia each year, and more than 270,000 deaths were recorded.
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.usm.my/19533/ http://eprints.usm.my/19533/1/WCC_Dr_Ashidi.pdf |
| _version_ | 1848873433330352128 |
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| author | Mat Isa, Nor Ashidi Yusoff, Intan Aidha Jusman, Yessi Sulaiman, Siti Noraini Othman, Nor Hayati |
| author_facet | Mat Isa, Nor Ashidi Yusoff, Intan Aidha Jusman, Yessi Sulaiman, Siti Noraini Othman, Nor Hayati |
| author_sort | Mat Isa, Nor Ashidi |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Statistically, 471,000 new cases of cervical cancer are reported in Malaysia each year, and more than 270,000 deaths were recorded. |
| first_indexed | 2025-11-15T16:11:47Z |
| format | Conference or Workshop Item |
| id | usm-19533 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T16:11:47Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-195332017-11-20T07:22:03Z http://eprints.usm.my/19533/ Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. Mat Isa, Nor Ashidi Yusoff, Intan Aidha Jusman, Yessi Sulaiman, Siti Noraini Othman, Nor Hayati TK1-9971 Electrical engineering. Electronics. Nuclear engineering Statistically, 471,000 new cases of cervical cancer are reported in Malaysia each year, and more than 270,000 deaths were recorded. 2010-06 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/19533/1/WCC_Dr_Ashidi.pdf Mat Isa, Nor Ashidi and Yusoff, Intan Aidha and Jusman, Yessi and Sulaiman, Siti Noraini and Othman, Nor Hayati (2010) Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. In: BIT Life Science 3rd World Cancer Congress, 22-25 June 2010, Singapore EXPO,Singapore. |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Mat Isa, Nor Ashidi Yusoff, Intan Aidha Jusman, Yessi Sulaiman, Siti Noraini Othman, Nor Hayati Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. |
| title | Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. |
| title_full | Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. |
| title_fullStr | Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. |
| title_full_unstemmed | Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. |
| title_short | Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. |
| title_sort | performance of image cytology features versus fourier transform infrared spectroscopy (ftir) features as diagnosis input for cervical cancer screening tools using artificial neural network. |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/19533/ http://eprints.usm.my/19533/1/WCC_Dr_Ashidi.pdf |