Application of SVM Based Optimization Algorithm in Medical Images Processing
Huiyan Jiang, Lingbo Zou
Journal of Information Technology Review, Vol. 3, No. 1, 2012.
DOI: 
Link: http://www.dline.info/jitr/fulltext/v3n1/5.pdf
Abstract:
Medical image processing is a very significant area of research as it has far reaching impact in health system. For pattern recognition, the Support vector machine is applied increasingly. The parameters selection plays a significant role in support vector machine(SVM). Through this research we have introduced a better scalable parameter optimization method based on traditional PSO optimizing algorithm by changing the fitness function in the traditional process. We have experimented it in real life and we came out with promising results which reflected in the ROC curves in medical images classification.