Level Set Method in Medical Imaging Segmentation

By: Ayman El-Baz and Jasjit S. Suri

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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 Quality:: Publisher Quality
Book Size:: 396 Pages
ISBN-13:: 9781351373036
Related ISBNs:: 9781315148595, 9781138553453, 9781138553453, 9781315148595, 9781138553453
Publisher:: CRC Press
Date of Addition:: 03/14/20
Copyrighted By:: N/A
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Technology, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Ayman El-Baz
Edited by:: Jasjit S. Suri