1. A method for segmenting organs in digitized medical images, the method comprising the steps of: providing a set of training images of an object of interest, wherein said object of interest has been segmented; computing a surface mesh having a plurality of mesh cells that approximates a border of said object of interest; extracting positive examples of all mesh cells and extracting negative examples in the neighborhood of each mesh cell which do not belong to the object surface; training from said positive examples and negative examples a plurality of classifiers for outputting a probability of a point being a center of a particular mesh cell; computing an active shape model using a robust subset of center points in said mesh cells; generating a new shape by iteratively deforming said active shape model to fit a test image; and using said classifiers to calculate a probability of each center point of said new shape being a center of a particular mesh cell which said classifier was trained to recognize.