Defining a priori the energy function guiding deformable models evolution is hard.
We show an alternative, fully automatic framework for deformable model adjustment.
The deformable model adjustment is directly guided by a machine learning method.
Learning is driven by the ground truth information provided in the training set.
Our framework is composed by four customizable parts plus an integration mechanism.