An optimal spectroscopic feature fusion strategy for MR brain tumor classification using Fisher Criteria and Parameter-Free BAT optimization algorithm
In the present work, a fused metabolite ratio is proposed that integrates the conventional
metabolite ratios in a weighted manner to improve the diagnostic accuracy of glioma brain
tumor categorization. Each metabolite ratio is weighted by the value generated by the Fisher
and the Parameter-Free BAT (PFree BAT) optimization algorithm. Here, feature fusion is
formulated as an optimization problem with PFree BAT optimization as its underlying search
strategy and Fisher Criterion serving as a fitness function. Experiments were conducted on …
metabolite ratios in a weighted manner to improve the diagnostic accuracy of glioma brain
tumor categorization. Each metabolite ratio is weighted by the value generated by the Fisher
and the Parameter-Free BAT (PFree BAT) optimization algorithm. Here, feature fusion is
formulated as an optimization problem with PFree BAT optimization as its underlying search
strategy and Fisher Criterion serving as a fitness function. Experiments were conducted on …
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