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- Level Set Methods in an EM Framework for Shape Classification and Estimation
- This paper proposes an Expectation-Maximization approach to separate a shape database into different shape classes, while simultaneously estimating the shape contours that best exemplify each of the different shape classes. They begin their formulation by employing the level set function as the shape descriptor. Next, for each shape class they...
- White papers 2004-08-30
- 3D Analysis of Radiofrequency-Ablated Tumors in Liver: A Computer-Aided Diagnosis Tool for Early Detection of Local Recurrences
- Radiofrequency ablation is being used increasingly in the treatment of liver tumors, and the detection of local recurrences on follow-up imaging is an important and occasionally challenging task. When the tumor is not associated with nodular enhancement, recurrence detection only relies on a precise identification of shape changes in the...
- White papers 2004-08-30
- Anisotropic Interpolation of DT-MRI
- Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance. After some preliminaries that describe the fundamentals of this imaging modality, they present a new technique to interpolate the diffusion tensor field, preserving boundaries and the constraint of positive-semi definiteness. Their approach is based on the use...
- White papers 2004-09-01
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