Segmentation of MRI brain with a bootstrapped version of the HMRF-EM algorithm
Sabra Mabrouk, Slim Mhiri, Faouzi Ghorbel · 2012
We are interested in this work to optimize the algorithmic complexity of Markovian segmentation of brain tissues in MRI by the Bootstrap sampling. The introduction of this resampling allows to create the independence conditions which gives a better convergence of the mixture identification algorithm. A comparative study is made with the non-bootstrapped version in the mean of the misclassification rate.