Automated classification of blasts in acute leukemia blood samples using HMLP network

This paper presents a study on classification of blasts in acute leukemia blood samples using artificial neural network.In acute leukemia there are two major forms that are acute myelogenous leukemia (AML) and acute lymphocytic leukemia (ALL).Six morphological features have been extracted from acut...

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Main Authors: Harun, N. H., Mashor, M.Y., Abdul Nasir, A.S., Rosline, H.
格式: Conference or Workshop Item
語言:English
出版: 2011
主題:
在線閱讀:https://repo.uum.edu.my/id/eprint/13606/1/55.pdf
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author Harun, N. H.
Mashor, M.Y.
Abdul Nasir, A.S.
Rosline, H.
author_facet Harun, N. H.
Mashor, M.Y.
Abdul Nasir, A.S.
Rosline, H.
author_sort Harun, N. H.
collection UUM
description This paper presents a study on classification of blasts in acute leukemia blood samples using artificial neural network.In acute leukemia there are two major forms that are acute myelogenous leukemia (AML) and acute lymphocytic leukemia (ALL).Six morphological features have been extracted from acute leukemia blood images and used as neural network inputs for the classification.Hybrid Multilayer Perceptron (HMLP) neural network was used to perform the classification task.The Hybrid Multilayer Perceptron(HMLP) neural network is trained using modified RPE(MRPE) training algorithm for 1474 data samples.The Hybrid Multilayer Perceptron (HMLP) neural network produces 97.04% performance accuracy.The result indicates the promising capabilities and abilities of the Hybrid Multilayer Perceptron (HMLP) neural network using modified RPE (MRPE) training algorithm for classifying and distinguishing the blasts from acute leukemia blood samples.
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spelling uum-136062015-04-07T04:48:18Z https://repo.uum.edu.my/id/eprint/13606/ Automated classification of blasts in acute leukemia blood samples using HMLP network Harun, N. H. Mashor, M.Y. Abdul Nasir, A.S. Rosline, H. QA76 Computer software This paper presents a study on classification of blasts in acute leukemia blood samples using artificial neural network.In acute leukemia there are two major forms that are acute myelogenous leukemia (AML) and acute lymphocytic leukemia (ALL).Six morphological features have been extracted from acute leukemia blood images and used as neural network inputs for the classification.Hybrid Multilayer Perceptron (HMLP) neural network was used to perform the classification task.The Hybrid Multilayer Perceptron(HMLP) neural network is trained using modified RPE(MRPE) training algorithm for 1474 data samples.The Hybrid Multilayer Perceptron (HMLP) neural network produces 97.04% performance accuracy.The result indicates the promising capabilities and abilities of the Hybrid Multilayer Perceptron (HMLP) neural network using modified RPE (MRPE) training algorithm for classifying and distinguishing the blasts from acute leukemia blood samples. 2011-06-08 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13606/1/55.pdf Harun, N. H. and Mashor, M.Y. and Abdul Nasir, A.S. and Rosline, H. (2011) Automated classification of blasts in acute leukemia blood samples using HMLP network. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011, Bandung, Indonesia. http://www.icoci.cms.net.my
spellingShingle QA76 Computer software
Harun, N. H.
Mashor, M.Y.
Abdul Nasir, A.S.
Rosline, H.
Automated classification of blasts in acute leukemia blood samples using HMLP network
title Automated classification of blasts in acute leukemia blood samples using HMLP network
title_full Automated classification of blasts in acute leukemia blood samples using HMLP network
title_fullStr Automated classification of blasts in acute leukemia blood samples using HMLP network
title_full_unstemmed Automated classification of blasts in acute leukemia blood samples using HMLP network
title_short Automated classification of blasts in acute leukemia blood samples using HMLP network
title_sort automated classification of blasts in acute leukemia blood samples using hmlp network
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/13606/1/55.pdf
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AT mashormy automatedclassificationofblastsinacuteleukemiabloodsamplesusinghmlpnetwork
AT abdulnasiras automatedclassificationofblastsinacuteleukemiabloodsamplesusinghmlpnetwork
AT roslineh automatedclassificationofblastsinacuteleukemiabloodsamplesusinghmlpnetwork