Titlebook: Abdomen and Thoracic Imaging; An Engineering & Cli Ayman S. El-Baz,Luca Saba,Jasjit Suri Book 2014 Springer Science+Business Media New York

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https://doi.org/10.1007/978-1-4614-8498-1Abdomen; CT; Thoracic

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Architecting Dependable Systemsion as an indicator of quality of the colon preparation. Color is the most distinguishable characteristic for differentiation among these object classes and normal pixels. In this paper, we propose a method to detect these object classes using color features. The main idea is to partition very large

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Architectural Mismatch Tolerancelon flexures are automatically extracted for each supine and prone surface, employing the colon geometry. The two colon surfaces are then divided into several segments using flexures, and each segment is cut along a taenia coli and conformally flattened to the rectangular domain using Ricci flow. Co

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https://doi.org/10.1007/3-540-45177-3the conformal colon flattening pipeline. Starting from a segmented colon wall, the Marching Cube algorithm was first applied to generate the surface, then we apply our topological clearance algorithm to remove the topological outliers to guarantee the output surface is exactly genus 0. The cleared o