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Titlebook: Abdominal Imaging -Computational and Clinical Applications; International Worksh Hiroyuki Yoshida,David Hawkes,Michael W. Vannier Conferenc

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Enabling Rapid Digital Transformationwithout fecal tagging were used as simulation input and 50%, 25%, and 12.5% dose images were generated and evaluated. Our results suggest that the proposed CT simulation technique has potential for application in virtual ultra-low-dose trial in CT colonography in which an unlimited number of scan pr
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https://doi.org/10.1007/978-3-642-81522-5r evaluation, 232,211 detections by a CAD system on 1,211 patients were subsampled randomly to create 10 different populations of 500 true-positive (TP) and 500 false-positive (FP) detections. The classifier performance was evaluated by use of the area under the receiver operating characteristic cur
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https://doi.org/10.1007/978-3-642-33612-6CT colonography; abdominal organs; image analysis; registration; segmentation
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Architecting Digital Products and Services with 66 polyps (6 to 30 mm) was selected from a publicly available, anonymized CTC archive. To enhance generalizability, no case was excluded due to poor preparation or inadequate distension. Corresponding prone and supine polyp coordinates were recorded and the endoluminal surfaces registered: a M
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https://doi.org/10.1007/978-3-030-49640-1wall supplies an alternative means for the task of detecting abnormality as compared to the conventional endoscopic views. In addition to the visualization, the flattened colon wall carries supplementary geometry and texture information for computer aided detection of abnormality. It is hypothesized
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