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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...

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Main Authors: Mat Isa, Nor Ashidi, Mashor, Mohd Yusoff, Othman, Nor Hayati
Format: Conference or Workshop Item
Language:English
Published: 2003
Subjects:
TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:http://eprints.usm.my/14167/1/classification.pdf
http://eprints.usm.my/14167/
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spelling my.usm.eprints.14167 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.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
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.
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.
format Conference or Workshop Item
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
title Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
title_short Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
title_full Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
title_fullStr Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
title_full_unstemmed Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
title_sort classification of abnormal cervical cells using hierarchical multilayered perceptron network.
publishDate 2003
url http://eprints.usm.my/14167/1/classification.pdf
http://eprints.usm.my/14167/
_version_ 1643702586943995904
score 13.211869

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