An improvement of MRI brain images classification using dragonfly algorithm as trainer of artificial neural network
Author
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 31, Issue 1 (30 Apr. 2018), pp.268-276, 9 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2018-04-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Computer software is frequently used for medical decision support systems in different areas.
Magnetic Resonance Images (MRI) are widely used images for brain classification issue.
This paper presents an improved method for brain classification of MRI images.
The proposed method contains three phases, which are, feature extraction, dimensionality reduction, and an improved classification technique.
In the first phase, the features of MRI images are obtained by discrete wavelet transform (DWT).
In the second phase, the features of MRI images have been reduced, using principal component analysis (PCA).
In the last (third) stage, an improved classifier is developed.
In the proposed classifier, Dragonfly algorithm is used instead of backpropagation as training algorithm for artificial neural network (ANN).
Some other recent training-based Neural Networks, SVM, and KNN classifiers are used for comparison with the proposed classifier.
The classifiers are utilized to classify image as normal or abnormal MRI human brain image.
The results show that the proposed classifier is outperformed the other competing classifiers.
American Psychological Association (APA)
Abd al-Amir, Ahmad Talib. 2018. An improvement of MRI brain images classification using dragonfly algorithm as trainer of artificial neural network. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 31, no. 1, pp.268-276.
https://search.emarefa.net/detail/BIM-852924
Modern Language Association (MLA)
Abd al-Amir, Ahmad Talib. An improvement of MRI brain images classification using dragonfly algorithm as trainer of artificial neural network. Ibn al-Haitham Journal for Pure and Applied Science Vol. 31, no. 1 (2018), pp.268-276.
https://search.emarefa.net/detail/BIM-852924
American Medical Association (AMA)
Abd al-Amir, Ahmad Talib. An improvement of MRI brain images classification using dragonfly algorithm as trainer of artificial neural network. Ibn al-Haitham Journal for Pure and Applied Science. 2018. Vol. 31, no. 1, pp.268-276.
https://search.emarefa.net/detail/BIM-852924
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 275-276
Record ID
BIM-852924