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Demons has been well recognized for its deformable registration capability. However, it might lead to misregistration due to the large spatial distance between the expected corresponding contents or erroneous diffusion tendency. In this paper, we propose a new energy function with topology energy, distance function and demons energy for deformable registration. The new energy function incorporates...
We propose a graph-based segmentation model that takes into account both topological information and intensity similarity to segment non-small-cell lung carcinoma (NSCLC) from PET volumes. The proposed model estimates the probabilities of each voxel belonging to the given foreground and background labels. The topological information is derived from our region of interest topological skeleton tree...
We propose a novel joint probabilistic model that correlates a new probabilistic shape model with the corresponding global intensity distribution to segment multiple abdominal organs simultaneously. Our probabilistic shape model estimates the probability of an individual voxel belonging to the estimated shape of the object. The probability density of the estimated shape is derived from a combination...
The machine assignment problem of steelmaking and continuous casting (SCC) is key for making optimization scheduling plan. The machine assignment strategy of SCC scheduling plan is studied in this paper, the dynamic programming model of machine assignment is established based on production constraints, production cost and processing time. The results tested by production data show the rationality...
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