In this paper we apply multiscale entropy (MSE) analysis to data
obtained from magnetic resonance imaging of the female breast.
All cases include lesions that were histologically proven as
malignant tumors. Our results indicate that multiscale entropy
analysis can play an important role in the detection of tumor
tissue when applied to single datasets, but does not allow to
calculate universal morphological features. The performance of
MSE was examined with respect to traditional features such
as difference imaging.