Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.

Mat Isa, Nor Ashidi
Mashor, Mohd Yusoff
Othman, Nor Hayati

Publication date

January 2003

Language

English

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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Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.

Abstract

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Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.

Abstract

Extracted data

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