Classification Of Breast Lesions Using Artificial Neural Network.

This paper presents a study on classification of breast lesions using artificial neural network. Thirteen morphological features have been extracted from breast lesion cells and used as the neural network inputs for the classification.

Bibliographic Details
Main Authors: Mashor, M Y, Esugasini, S, Mat Isa, N A, Othman, N H
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.usm.my/14458/
http://eprints.usm.my/14458/1/paper7.pdf
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author Mashor, M Y
Esugasini, S
Mat Isa, N A
Othman, N H
author_facet Mashor, M Y
Esugasini, S
Mat Isa, N A
Othman, N H
author_sort Mashor, M Y
building USM Institutional Repository
collection Online Access
description This paper presents a study on classification of breast lesions using artificial neural network. Thirteen morphological features have been extracted from breast lesion cells and used as the neural network inputs for the classification.
first_indexed 2025-11-15T15:49:35Z
format Conference or Workshop Item
id usm-14458
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:49:35Z
publishDate 2006
recordtype eprints
repository_type Digital Repository
spelling usm-144582017-11-20T07:22:08Z http://eprints.usm.my/14458/ Classification Of Breast Lesions Using Artificial Neural Network. Mashor, M Y Esugasini, S Mat Isa, N A Othman, N H TK1-9971 Electrical engineering. Electronics. Nuclear engineering This paper presents a study on classification of breast lesions using artificial neural network. Thirteen morphological features have been extracted from breast lesion cells and used as the neural network inputs for the classification. 2006 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/14458/1/paper7.pdf Mashor, M Y and Esugasini, S and Mat Isa, N A and Othman, N H (2006) Classification Of Breast Lesions Using Artificial Neural Network. In: International Conference on Man-Machine Systems (ICOMMS 2006), 15-16 September 2006, City Bayview Hotel, Langkawi, Malaysia.
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Mashor, M Y
Esugasini, S
Mat Isa, N A
Othman, N H
Classification Of Breast Lesions Using Artificial Neural Network.
title Classification Of Breast Lesions Using Artificial Neural Network.
title_full Classification Of Breast Lesions Using Artificial Neural Network.
title_fullStr Classification Of Breast Lesions Using Artificial Neural Network.
title_full_unstemmed Classification Of Breast Lesions Using Artificial Neural Network.
title_short Classification Of Breast Lesions Using Artificial Neural Network.
title_sort classification of breast lesions using artificial neural network.
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/14458/
http://eprints.usm.my/14458/1/paper7.pdf