{
"item_title" : "Level Set Method in Medical Imaging Segmentation",
"item_author" : [" Ayman El-Baz", "Jasjit S. Suri "],
"item_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.",
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Level Set Method in Medical Imaging Segmentation
by Ayman El-Baz and Jasjit S. Suri
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Overview
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.
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Details
- ISBN-13: 9781138553453
- ISBN-10: 113855345X
- Publisher: CRC Press
- Publish Date: July 2019
- Dimensions: 9.3 x 6.4 x 1 inches
- Shipping Weight: 1.95 pounds
- Page Count: 396
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