Level Set Method in Medical Imaging Segmentation

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Synopsis

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.

Book details

Author:
Ayman El-Baz, Jasjit S. Suri
ISBN:
9781351373036
Related ISBNs:
9781315148595, 9781138553453, 9781138553453, 9781315148595, 9781138553453
Publisher:
CRC Press
Pages:
396
Reading age:
Not specified
Includes images:
No
Date of addition:
2020-03-14
Usage restrictions:
Copyright
Copyright date:
2019
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Medicine, Nonfiction, Science, Technology