Level Set Method in Medical Imaging Segmentation
Level Set Method in Medical Imaging Segmentation by Ayman El-Baz and Jasjit S. Suri
English | Jul 12, 2019 | ISBN: 113855345X | 414 pages | PDF | 14 MB
English | Jul 12, 2019 | ISBN: 113855345X | 414 pages | PDF | 14 MB
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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