Abstract—In this paper, we present an autocontext model (ACM)-basedautomaticliversegmentationalgorithm,whichcombines ACM, multiatlases, and mean-shift techniques to segment liver from 3-D CT images. Our algorithm is a learning-based method and can be divided into two stages. At the first stage, i.e., the training stage, ACM is performed to learn a sequence of classifiers in each atlas space…