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{ "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/13/855/345/113855345X_b.jpg", "price_data" : { "retail_price" : "305.00", "online_price" : "305.00", "our_price" : "305.00", "club_price" : "305.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Level Set Method in Medical Imaging Segmentation|Ayman El-Baz

Level Set Method in Medical Imaging Segmentation

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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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