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A semi-automated measurement technique for the assessment of radiolucency by E. C. Pegg, B. J. L. Kendrick, H. G. Pandit, H. S. Gill, and D. W. Murray Interface Volume 11(96): July 6, 2014 ©2014 by The Royal Society
A schematic of the position of the seven defined zones surrounding the tibial implant. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society
An example of the greyscale profiles from each zone of a radiograph after processing. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society
Example of a smoothed greyscale profile of a radiolucent region, an image of the radiograph from which the profile was taken is shown and the profile is illustrated by a black line. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society
ROC curves illustrating the diagnostic capability of the radiolucent area parameter output by the software in predicting radiolucency as defined by the average data from the six surgeons, and the curves for each surgeon individually. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society
Summary of the AUC results calculated from the ROC curves for the six surgeons; error bars represent the 95% confidence intervals. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society
Boxplot of the distribution of the thickness of radiolucent lines measured by the automated program. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society
ROC curves for results from cemented and cementless components. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society
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The Prosthesis-Bone Interface Adjacent to Tibial Components Inserted without Cement. Clinical and Radiographic Follow-up at Nine to Twelve Years* by CRAIG.
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1 Chapter FIGURE 11.1 Normal densities for male and for female femoral circumferences (in millimeters). The summary statistics for drawing these.
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Date of download: 6/28/2016 Copyright © 2016 SPIE. All rights reserved. The two- to five-month follow-up image for four patients in our study. The solid.
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Correlation and Prediction Error The amount of prediction error is associated with the strength of the correlation between X and Y.
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