Level Set Method in Medical Imaging Segmentation (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	July 2019
First published:	2019
Editors:	Ayman El-Baz • Jasjit S. Suri
Dimensions:	234 x 156 x 27mm (L x W x T)
Format:	Hardcover
Pages:	396
ISBN-13:	978-1-138-55345-3
Categories:	Books > Medicine > General issues > General Books > Professional & Technical > Environmental engineering & technology > General Books > Medicine > Other branches of medicine > Medical imaging > Radiology Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
LSN:	1-138-55345-X
Barcode:	9781138553453

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