Level Set Method in Medical Imaging Segmentation 1st Edition by Ayman El Baz, Jasjit S Suri ISBN 9781032653068 103265306X

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Product details:

ISBN 10:  103265306X

ISBN 13: 9781032653068

Author: Ayman El-Baz, Jasjit S. Suri

 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.

Table of contents: 

1. tomography reconstructions with stochastic level-set methods

2. application of 3d level set based optimization in microwave breast imaging for cancer detection

3. a modified global and elastic icp shape registration for medical imaging applications

4. robust nuclei segmentation using statistical level set method with topology preserving constraint

5. level set methods in segmentation of sdoct retinal images

6. numerical techniques for level set models: an image segmentation perspective

7. level set methods for cardiac segmentation in msct images

8. deformable models and image segmentation

9. cardiac image segmentation using generalized polynomial chaos expansion and level set function

10. medical image segmentation approach that uses level sets with statistical shape priors

11. level set method in medical imaging segmentation

12. image segmentation with b-spline level set

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Tags: Ayman El Baz, Jasjit S Suri, Level Set Method, Medical Imaging, Segmentation