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A Framework for Comparison and Evaluation of Nonlinear Intra-Subject Image Registration Algorithms
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Performance validation of nonlinear registration algorithms is a difficult problem due to the lack of a suitable ground truth in most applications. However, the ill-posed nature of the nonlinear registration problem and the large space of possible solutions [...]

3D Segmentation in the Clinic: A Grand Challenge II - Coronary Artery Tracking
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In this paper the Coronary Artery Tracking competition, which was part of the workshop: "3D Segmentation in the Clinic: A Grand Challenge II" is described. This workshopwas held during the 2008 Medical Image Computing and Computer Assisted Intervention [...]

Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI.
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The motivation of the segmentation challenge is to quantitatively analyze global and regional cardiac function from cine magnetic resonance (MR) images, clinical parameters such as ejection fraction (EF), left ventricle myocardium mass (MM), and stroke volume [...]

Carotid Lumen Segmentation and Stenosis Grading Challenge
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This paper describes the Carotid Lumen Segmentation and Stenosis Grading Challenge, which was part of the workshop ``3D Segmentation in the Clinic: A Grand Challenge''. This workshop was part of the 12th conference on Medical Image Computing and Computer [...]

Validation of Liver Tumor Segmentation in CT Scans by Relating Manual and Algorithmic Performance - A Preliminary Study
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The development of segmentation algorithms for liver tumors in CT scans has found growing attention in recent years. The validation of these methods, however, is often treated as a subordinate task. In this article, we review existing approaches and present [...]

A Framework for Algorithm Evaluation and Clinical Application Prototyping using ITK
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The usage of image processing has become an important and continuous growing field in medical imaging. Although a large amount of algorithms is available, only few are routinely applied within applications for clinical diagnosis support and treatment [...]


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