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.
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.
Actions (login required)