Skip to main content
. Author manuscript; available in PMC: 2013 Dec 2.
Published in final edited form as: IEEE Trans Med Imaging. 2012 Nov 27;32(2):10.1109/TMI.2012.2230018. doi: 10.1109/TMI.2012.2230018

Fig. 7.

Fig. 7

First row shows different slices of a prostate CT image, overlayed with the manual segmentation ground-truth indicated by the red contours. Second row shows the corresponding probability maps obtained by the conventional label propagation process with the intensity patch-based voxel signature. Third row shows the probability maps obtained with the proposed patch-based voxel signature in the discriminative feature space, but using the conventional label propagation. Fourth row shows the probability maps obtained with the proposed patch-based voxel signature in the discriminative feature space and the proposed sparse label propagation strategy, but without considering the image context information. Fifth row shows the probability maps obtained with the proposed patch-based voxel signature in the discriminative feature space by integrating the image context information into the sparse label propagation framework as detailed in Algorithm 1.