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Round Randomized Learning Vector Quantization for Brain Tumor Imaging
- Source :
- Computational and Mathematical Methods in Medicine, Vol 2016 (2016), Computational and Mathematical Methods in Medicine
- Publication Year :
- 2016
- Publisher :
- Hindawi Limited, 2016.
-
Abstract
- Brain magnetic resonance imaging (MRI) classification into normal and abnormal is a critical and challenging task. Owing to that, several medical imaging classification techniques have been devised in which Learning Vector Quantization (LVQ) is amongst the potential. The main goal of this paper is to enhance the performance of LVQ technique in order to gain higher accuracy detection for brain tumor in MRIs. The classical way of selecting the winner code vector in LVQ is to measure the distance between the input vector and the codebook vectors using Euclidean distance function. In order to improve the winner selection technique, round off function is employed along with the Euclidean distance function. Moreover, in competitive learning classifiers, the fitting model is highly dependent on the class distribution. Therefore this paper proposed a multiresampling technique for which better class distribution can be achieved. This multiresampling is executed by using random selection via preclassification. The test data sample used are the brain tumor magnetic resonance images collected from Universiti Kebangsaan Malaysia Medical Center and UCI benchmark data sets. Comparative studies showed that the proposed methods with promising results are LVQ1, Multipass LVQ, Hierarchical LVQ, Multilayer Perceptron, and Radial Basis Function.
- Subjects :
- Article Subject
Computer science
Competitive learning
lcsh:Computer applications to medicine. Medical informatics
General Biochemistry, Genetics and Molecular Biology
030218 nuclear medicine & medical imaging
Machine Learning
03 medical and health sciences
0302 clinical medicine
Medical imaging
Image Processing, Computer-Assisted
Humans
Radial basis function
Computer Simulation
Diagnosis, Computer-Assisted
Problem Solving
Learning vector quantization
Models, Statistical
General Immunology and Microbiology
Brain Neoplasms
Applied Mathematics
Codebook
Reproducibility of Results
General Medicine
Function (mathematics)
Magnetic Resonance Imaging
Nonlinear Dynamics
Modeling and Simulation
Multilayer perceptron
lcsh:R858-859.7
Neural Networks, Computer
Algorithm
030217 neurology & neurosurgery
Algorithms
Test data
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 17486718
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....abb641e2d09b2409022c2e96338ecf26