{ "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://covers1.booksamillion.com/covers/bam/1/03/265/306/103265306X_b.jpg", "price_data" : { "retail_price" : "70.99", "online_price" : "70.99", "our_price" : "70.99", "club_price" : "70.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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