Application of simulated annealing to biosignal classification and segmentation

Abstract

Simulated annealing is no doubt one of the most popular optimisation methods. Like similar methods it is based on natural phenomena. In the paper two examples of how to use this method in medical applications are presented. In the first example the successfulness of simulated annealing is compared to a genetic algorithm on the problem of the optimal coefficients determination for cellular neural networks, when used for segmentation of ovarian ultrasound images. In this field the latter method produced better results. The second example discusses the usage of simulated annealing for optimisation of signal classification.