The use of Markov random fields (MRFs) is a common approach for performing image segmentation, where the problem is modeled using MRFs that incorporate priors on neighborhood nodes to allow for efficient Maximum a Posteriori inference.These local MRF models often result in smoothed segmentation boundaries, since they penalize the assignment of diff

INTRODUCTION:TP53 mutation copyright (Li-Fraumeni Syndrome, LFS) cohort studies often suffer from lack of extensive pedigree exploration.METHODS:We performed a nation-wide exploration of TP53 mutation copyright families identified through all clinical genetics departments in Denmark.Pedigrees were expanded and verified using unique national person