Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images

► Random forest for automatic segmentation of MS lesions in 3D MR images ► Features: multi-channel MR intensities, priors, long-range spatial context, symmetry ► Quantitative evaluation shows significant improvement over all earlier methods ► A ranking of the most discriminative features and channels is proposed ► The automatically learned decision sequence mimics the state-of-the-art pipeline