Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.

• 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/
• Institution: Universiti Sains Malaysia

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...