Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
ID Code:	14167
Deposited By:	Mr Erwan Roslan
Deposited On:	06 Nov 2009 15:25
Last Modified:	06 Nov 2009 15:25

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