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Classification of acute leukemia sub-types using artificial neural network

The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...

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Main Authors: Lim, Chee Chin, Elsie Usun, Francis, Mohd Yusoff, Mashor, Prof. Dr., Roseline, Hassan, Dr.
Other Authors: cheechin10@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Acute leukemia
Acute Lymphocytic Leukemia (ALL)
Acute Myelogenous Leukemia (AML)
Multilayered Perceptron (MLP)
Hierarchical
Multiclass
Neural network
Levenberg Marquardt
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/30509
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spelling my.unimap-305092014-06-27T09:45:27Z Classification of acute leukemia sub-types using artificial neural network Lim, Chee Chin Elsie Usun, Francis Mohd Yusoff, Mashor, Prof. Dr. Roseline, Hassan, Dr. cheechin10@gmail.com elsie_francis86@yahoo.com yusoff@unimap.edu.my roslin@kb.usm.my Acute leukemia Acute Lymphocytic Leukemia (ALL) Acute Myelogenous Leukemia (AML) Multilayered Perceptron (MLP) Hierarchical Multiclass Neural network Levenberg Marquardt The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. This paper presents a study on sub-types classification of acute leukemia using artificial neural networks. Thirteen morphologival features have been extracted from acute leukemia cells and used as the neural network inputs for the classification. Multilayered Perceptron networks were used to perform the classification task. Multiclass and hierarchy binary class were used to perform and compared using 2000 data samples. The classification results indicating that the hierarchy classifier gives the better overall diagnostic performance compare to the multiclass classification. The overall accuracy of hierarchy classifier is 96.65% whereas the multiclass classifier overall accuracy is 88.55% for 20 hidden nodes. 2013-12-13T08:19:45Z 2013-12-13T08:19:45Z 2012-06-18 Working Paper p. 595 - 604 978-967-5760-11-2 http://hdl.handle.net/123456789/30509 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP)
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 Acute leukemia
Acute Lymphocytic Leukemia (ALL)
Acute Myelogenous Leukemia (AML)
Multilayered Perceptron (MLP)
Hierarchical
Multiclass
Neural network
Levenberg Marquardt
spellingShingle Acute leukemia
Acute Lymphocytic Leukemia (ALL)
Acute Myelogenous Leukemia (AML)
Multilayered Perceptron (MLP)
Hierarchical
Multiclass
Neural network
Levenberg Marquardt
Lim, Chee Chin
Elsie Usun, Francis
Mohd Yusoff, Mashor, Prof. Dr.
Roseline, Hassan, Dr.
Classification of acute leukemia sub-types using artificial neural network
description The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.
author2 cheechin10@gmail.com
author_facet cheechin10@gmail.com
Lim, Chee Chin
Elsie Usun, Francis
Mohd Yusoff, Mashor, Prof. Dr.
Roseline, Hassan, Dr.
format Working Paper
author Lim, Chee Chin
Elsie Usun, Francis
Mohd Yusoff, Mashor, Prof. Dr.
Roseline, Hassan, Dr.
author_sort Lim, Chee Chin
title Classification of acute leukemia sub-types using artificial neural network
title_short Classification of acute leukemia sub-types using artificial neural network
title_full Classification of acute leukemia sub-types using artificial neural network
title_fullStr Classification of acute leukemia sub-types using artificial neural network
title_full_unstemmed Classification of acute leukemia sub-types using artificial neural network
title_sort classification of acute leukemia sub-types using artificial neural network
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/30509
_version_ 1643795622656999424
score 13.214268

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