1. A method for segmenting a plurality of organs in a medical image, comprising: detecting a plurality of landmarks of the plurality of organs in the medical image using an integrated local and global context detector, wherein detecting a plurality of landmarks of the plurality of organs in the medical image using an integrated local and global context detector comprises: generating a respective set of location predictions for each of the plurality of landmarks from each of a plurality of image patches of the medical image using a global context posterior, and for each of the plurality of landmarks, detecting the landmark by evaluating the predicted locations for that landmark based on a local context using a trained discriminative classifier for that landmark; and generating a segmentation of each of the plurality of organs based on the detected plurality of landmarks.