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.
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.
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