Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
The paper discusses the use of neural network to classify the types of cervical cells based on Bethesda system; which are normal, low-grade squamous intraepithelial lesion (LSIL) and high-grade squamous intraepithelial lesion (HSIL). The current study proposed new neural network architecture, namel...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://eprints.usm.my/14167/ http://eprints.usm.my/14167/1/classification.pdf |
| _version_ | 1848871956497039360 |
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| author | Mat Isa, Nor Ashidi Mashor, Mohd Yusoff Othman, Nor Hayati |
| author_facet | Mat Isa, Nor Ashidi Mashor, Mohd Yusoff Othman, Nor Hayati |
| author_sort | Mat Isa, Nor Ashidi |
| building | USM Institutional Repository |
| collection | Online Access |
| description | The paper discusses the use of neural network to classify the types of cervical cells based on Bethesda system; which are normal, low-grade squamous intraepithelial lesion (LSIL) and high-grade squamous intraepithelial lesion (HSIL). The current
study proposed new neural network architecture, namely hierarchical multilayered perceptron (HiMLP) network.
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| first_indexed | 2025-11-15T15:48:19Z |
| format | Conference or Workshop Item |
| id | usm-14167 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T15:48:19Z |
| publishDate | 2003 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-141672017-11-20T07:22:11Z http://eprints.usm.my/14167/ Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network. Mat Isa, Nor Ashidi Mashor, Mohd Yusoff Othman, Nor Hayati TK1-9971 Electrical engineering. Electronics. Nuclear engineering The paper discusses the use of neural network to classify the types of cervical cells based on Bethesda system; which are normal, low-grade squamous intraepithelial lesion (LSIL) and high-grade squamous intraepithelial lesion (HSIL). The current study proposed new neural network architecture, namely hierarchical multilayered perceptron (HiMLP) network. 2003 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/14167/1/classification.pdf Mat Isa, Nor Ashidi and Mashor, Mohd Yusoff and Othman, Nor Hayati (2003) Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network. In: World Congress On Medical Physics And Biomedical Engineering (WC2003) , 24 - 29 August 2003, Sydney, Australia. |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Mat Isa, Nor Ashidi Mashor, Mohd Yusoff Othman, Nor Hayati Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network. |
| title | Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
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| title_full | Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
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| title_fullStr | Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
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| title_full_unstemmed | Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
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| title_short | Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
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| title_sort | classification of abnormal cervical cells using hierarchical multilayered perceptron network. |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/14167/ http://eprints.usm.my/14167/1/classification.pdf |