Level Set Method in Medical Imaging Segmentation

By: Ayman El-Baz (Editor), Jasjit S. Suri (Editor)

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Hardcover | 12 July 2019

At a Glance

Hardcover
396 Pages

Dimensions(cm)
23.4 x 15.6 x 2.39

Hardcover

RRP $441.00

$312.25

29%OFF

Aims to ship in 7 to 10 business days

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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