Due to intensity overlapping, blurred edges and complex backgrounds with clutter
features, liver segmentation is still a challenging task. In this paper, we address it with a
constrained convex variational model, which can definitely avoid leakage through
anatomical knowledge from users. A novel heuristic intensity model is proposed to suppress
irrelevant strong edges and constrain the segmentation. Both global and local region
appearance information are integrated to model higher level features such as local ...