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

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.

Bibliographic Details
Main Authors: Mustafa, N, Mat Isa, N A, Mashor, M Y, Othman, N H
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.usm.my/14789/
http://eprints.usm.my/14789/1/paper.pdf
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author Mustafa, N
Mat Isa, N A
Mashor, M Y
Othman, N H
author_facet Mustafa, N
Mat Isa, N A
Mashor, M Y
Othman, N H
author_sort Mustafa, N
building USM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T15:51:03Z
format Conference or Workshop Item
id usm-14789
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:51:03Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling usm-147892017-11-20T07:22:07Z http://eprints.usm.my/14789/ New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network. Mustafa, N Mat Isa, N A Mashor, M Y Othman, N H TK1-9971 Electrical engineering. Electronics. Nuclear engineering 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. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/14789/1/paper.pdf 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.
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Mustafa, N
Mat Isa, N A
Mashor, M Y
Othman, N H
New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network.
title New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network.
title_full New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network.
title_fullStr New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network.
title_full_unstemmed New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network.
title_short New Features of Cervical Cells for Cervical Cancer Diagnostic System Using Neural Network.
title_sort new features of cervical cells for cervical cancer diagnostic system using neural network.
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/14789/
http://eprints.usm.my/14789/1/paper.pdf