In this paper, we propose Multiple-Surface Active Volume Models (MSAVM) to extract 3D objects from volumetric medical images. Being able to incorporate spatial constraints among mu...
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-AS...