Level set methods are numerical techniques which offer remarkably
powerful tools for understanding, analyzing, and computing
interface motion in a host of settings. When used for medical
imaging analysis and segmentation, the function assigns a label to
each pixel or voxel and optimality is defined based on desired
imaging properties. This often includes a detection step to extract
specific objects via segmentation. This allows for the segmentation
and analysis problem to be formulated and solved in a principled
way based on well-established mathematical theories. Level set
method is a great tool for modeling time varying medical images and
enhancement of numerical computations.
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