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MICCAI
2007
Springer

Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge

10 years 2 months ago
Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge
Abstract. We propose a highly automated approach to the point correspondence problem for anatomical shapes in medical images. Manual landmarking is performed on a small subset of the shapes in the study, and a machine learning approach is used to elucidate the characteristic shape and appearance features at each landmark. A classifier trained using these features defines a cost function that drives key landmarks to anatomically meaningful locations after MDL-based correspondence establishment. Results are shown for artificial examples as well as real data.
Aaron D. Ward, Ghassan Hamarneh
Added 14 Nov 2009
Updated 13 Aug 2010
Type Conference
Year 2007
Where MICCAI
Authors Aaron D. Ward, Ghassan Hamarneh
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