New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network.

Mustafa, N and Mat Isa, N A and Mashor, M Y and Othman, N H (2007) New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network. In: Proceeding of Malaysia-Japan International Symposium On Advanced Technology 2007 (MJISAT 2007), 12-15 November 2007, Seri Pacific Hotel, Kuala Lumpur.

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    Abstract

    Currently, Pap test is the most popular and effective test for cervical cancer. However, Pap test does not always produce good diagnostic performance. This problem has encouraged several studies to develop diagnosis system based on neural networks to increase the diagnostic performance.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering)
    Depositing User: Mr Erwan Roslan
    Date Deposited: 18 Nov 2009 14:15
    Last Modified: 13 Jul 2013 13:44
    URI: http://eprints.usm.my/id/eprint/14789

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