Level Set Method in Medical Imaging Segmentation Paperback / softback
Edited by Ayman El-Baz, Jasjit S. Suri
Paperback / softback
Description
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.
Information
-
Pre-Order
- Format:Paperback / softback
- Pages:414 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:25/06/2024
- Category:
- ISBN:9781032653068
Information
-
Pre-Order
- Format:Paperback / softback
- Pages:414 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:25/06/2024
- Category:
- ISBN:9781032653068