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Practical examples illustrating the Toolbox performance and contribution are also included.
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In this article, we present the key functionalities of the toolbox, quantify their performance, and discuss the novel implementation of important methodological concepts concerning parameter identifiability, confidence intervals and statistical tests for model validation and discrimination.
Since the samples needed for the finite differences are not dependent on each other, the determination of the gradient is parallelized by employing the features of the High Performance toolbox.
Because of the public domain nature of the program, the modular adaptability, and the previous good performance, the toolbox has been integrated with the propagated align algorithm to perform PET/CT to PET/CT deformable image registration.
The designed controller was tested using the GESARED simulation toolbox and shows excellent performance.
We used the elastix toolbox which had shown good performance in different CT-based thoracic alignment studies [22,23].
The toolbox has been evaluated using different performance techniques with design students.
We first validated the toolbox by simulating and testing the performance of single bacteria and whole communities in vitro.
To the best of our knowledge, the performance of the elastix toolbox on the alignment of solid lung tumors or the impact on intratumoral distribution of 18 F-FDG uptake has not been assessed so far.
This study evaluates the performance of the elastix toolbox deformable image registration algorithm for VOI and voxel-wise assessment of longitudinal variations in FDG tumor uptake in NSCLC patients.
The Neural Network Toolbox of MATLAB was used for performance comparison against the other methods.
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