Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.

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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Bibliographic Details
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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Institution: Universiti Sains Malaysia
Language: English
Description
Summary: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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