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Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network

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Main Authors: Nor Ashidi, Mat Isa, Esugasini, Subramaniam, Mohd Yusoff, Mashor, Nor Hayati, Othman
Format: Article
Language:English
Published: Science Publications 2009
Subjects:
Artificial neural network
Breast cancer
Fine needle aspiration
Hybrid Multilayered
Modified Recursive Prediction Error
Cytology > Technique
Cytochemistry
Neural networks (Computer science)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6674
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spelling my.unimap-66742009-08-04T08:25:41Z Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network Nor Ashidi, Mat Isa Esugasini, Subramaniam Mohd Yusoff, Mashor Nor Hayati, Othman Artificial neural network Breast cancer Fine needle aspiration Hybrid Multilayered Modified Recursive Prediction Error Cytology -- Technique Cytochemistry Neural networks (Computer science) Link to publisher's homepage at http://scipub.org/scipub/index.php Thirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus stain, uniformity of cell, fragility and number of cells in cluster) are evaluated their possibility to be used as input data for artificial neural network in order to classify the breast precancerous cases into four stages, namely malignant, fibroadenoma, fibrocystic disease, and other benign diseases. A total of 1300 reported breast pre-cancerous cases which was collected from Penang General Hospital and Hospital Universiti Sains Malaysia, Kelantan, Malaysia was used to train and test the artificial neural networks. The diagnosis system which was developed using the Hybrid Multilayered Perceptron and trained using Modified Recursive Prediction Error produced excellent diagnosis performance with 100% accuracy, 100% sensitivity and 100% specificity. 2009-08-04T08:25:03Z 2009-08-04T08:25:03Z 2007 Article American Journal of Applied Sciences, vol.4 (12), 2007, pages 999-1008. 1546-9239 http://scipub.org/scipub/detail_issue.php?V_No=195&j_id=ajas http://hdl.handle.net/123456789/6674 en Science Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Artificial neural network
Breast cancer
Fine needle aspiration
Hybrid Multilayered
Modified Recursive Prediction Error
Cytology -- Technique
Cytochemistry
Neural networks (Computer science)
spellingShingle Artificial neural network
Breast cancer
Fine needle aspiration
Hybrid Multilayered
Modified Recursive Prediction Error
Cytology -- Technique
Cytochemistry
Neural networks (Computer science)
Nor Ashidi, Mat Isa
Esugasini, Subramaniam
Mohd Yusoff, Mashor
Nor Hayati, Othman
Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network
description Link to publisher's homepage at http://scipub.org/scipub/index.php
format Article
author Nor Ashidi, Mat Isa
Esugasini, Subramaniam
Mohd Yusoff, Mashor
Nor Hayati, Othman
author_facet Nor Ashidi, Mat Isa
Esugasini, Subramaniam
Mohd Yusoff, Mashor
Nor Hayati, Othman
author_sort Nor Ashidi, Mat Isa
title Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network
title_short Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network
title_full Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network
title_fullStr Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network
title_full_unstemmed Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network
title_sort fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network
publisher Science Publications
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6674
_version_ 1643788575042437120
score 13.222552

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