Level Set Method in Medical Imaging Segmentation e-bog
403,64 DKK
(inkl. moms 504,55 DKK)
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 obj...
E-bog
403,64 DKK
Forlag
CRC Press
Udgivet
26 juni 2019
Længde
396 sider
Genrer
Medicine: general issues
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781351373036
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.