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Deformation-based nonlinear dimension reduction: Applications to nuclear morphometry
2008
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
We describe a new approach for elucidating the nonlinear degrees of freedom in a distribution of shapes depicted in digital images. By combining a deformation-based method for measuring distances between two shape configurations together with multidimensional scaling, a method for determining the number of degrees of freedom in a shape distribution is described. In addition, a method for visualizing the most representative modes of variation (underlying shape parameterization) in a nuclei shape
doi:10.1109/isbi.2008.4541042
dblp:conf/isbi/RohdeWPM08
fatcat:exempm7dlje5dgnlnkbm2jimke