1. A method for automatic segmentation of a medical image, the medical image comprising an object image to be segmented, the method comprising: registering a reference image associated with the object to the medical image; determining a transformation function on the basis of the registration; applying the transformation function to a probability map associated with the object; carrying out a probability thresholding on the transformed probability map by selecting a first area of the medical image in which the probability of the object is within a probability range; carrying out an intensity thresholding on the medical image by selecting a second area of the medical image in which the intensity is within an intensity range; selecting a common part of the first and second areas and carrying out on the common part a morphological opening resulting in separate sub-areas of the common part; selecting the largest sub-area as a seed; and segmenting the medical image on the basis of the selected seed.