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Level Set Method in Medical Imaging Segmentation

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Level Set Method in Medical Imaging Segmentation 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.

About This Edition

ISBN: 9781032653068
Publication date:
Author: Ayman S ElBaz, Jasjit S Suri
Publisher: CRC Press
Format: Paperback
Pagination: 414 pages
Genres: Technology, Engineering, Agriculture, Industrial processes
Medical imaging: radiology
Biomedical engineering

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