Probabilistic Neural Network for brain tumor classification

In this paper, Probabilistic Neural Network with image and data processing techniques was employed to implement an automated brain tumor classification. The conventional method for medical resonance brain images classification and tumors detection is by human inspection. Operator-assisted classifica...

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Main Authors: Othman, Mohd. Fauzi, Mohd. Basri, Mohd. Ariffanan
Format: Book Section
Published: IEEE 2011
Subjects:
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author Othman, Mohd. Fauzi
Mohd. Basri, Mohd. Ariffanan
author_facet Othman, Mohd. Fauzi
Mohd. Basri, Mohd. Ariffanan
author_sort Othman, Mohd. Fauzi
collection ePrints
description In this paper, Probabilistic Neural Network with image and data processing techniques was employed to implement an automated brain tumor classification. The conventional method for medical resonance brain images classification and tumors detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. Medical Resonance images contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use of artificial intelligent techniques for instant, neural networks, and fuzzy logic shown great potential in this field. Hence, in this paper the Probabilistic Neural Network was applied for the purposes. Decision making was performed in two stages: feature extraction using the principal component analysis and the Probabilistic Neural Network (PNN). The performance of the PNN classifier was evaluated in terms of training performance and classification accuracies. Probabilistic Neural Network gives fast and accurate classification and is a promising tool for classification of the tumors.
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spelling utm.eprints-292692017-02-04T08:41:23Z http://eprints.utm.my/29269/ Probabilistic Neural Network for brain tumor classification Othman, Mohd. Fauzi Mohd. Basri, Mohd. Ariffanan TK Electrical engineering. Electronics Nuclear engineering In this paper, Probabilistic Neural Network with image and data processing techniques was employed to implement an automated brain tumor classification. The conventional method for medical resonance brain images classification and tumors detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. Medical Resonance images contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use of artificial intelligent techniques for instant, neural networks, and fuzzy logic shown great potential in this field. Hence, in this paper the Probabilistic Neural Network was applied for the purposes. Decision making was performed in two stages: feature extraction using the principal component analysis and the Probabilistic Neural Network (PNN). The performance of the PNN classifier was evaluated in terms of training performance and classification accuracies. Probabilistic Neural Network gives fast and accurate classification and is a promising tool for classification of the tumors. IEEE 2011 Book Section PeerReviewed Othman, Mohd. Fauzi and Mohd. Basri, Mohd. Ariffanan (2011) Probabilistic Neural Network for brain tumor classification. In: Proceedings - 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2011. IEEE, Kuala Lumpur, pp. 136-138. ISBN 978-0-7695-4336-9 http://dx.doi.org/10.1109/ISMS.2011.32 10.1109/ISMS.2011.32
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Othman, Mohd. Fauzi
Mohd. Basri, Mohd. Ariffanan
Probabilistic Neural Network for brain tumor classification
title Probabilistic Neural Network for brain tumor classification
title_full Probabilistic Neural Network for brain tumor classification
title_fullStr Probabilistic Neural Network for brain tumor classification
title_full_unstemmed Probabilistic Neural Network for brain tumor classification
title_short Probabilistic Neural Network for brain tumor classification
title_sort probabilistic neural network for brain tumor classification
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT othmanmohdfauzi probabilisticneuralnetworkforbraintumorclassification
AT mohdbasrimohdariffanan probabilisticneuralnetworkforbraintumorclassification