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


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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983-2078-49-4 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords: Hybrid Multilayer Perceptron, artificial neural network, acuteleukemia
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 07 Apr 2015 04:48
Last Modified: 07 Apr 2015 04:48
URI: http://repo.uum.edu.my/id/eprint/13606

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