Abstract
In this paper, we statistically analyze the results of a qualitative evaluation with 129 participants of the most commonly used feature line techniques on artificial and anatomical structures obtained from patient-specific data. For this analysis, we tested for significant differences to verify the results and the evaluation. We applied the Shapiro-Wilk test for normality, the Friedmann test to validate significant differences, and the Wilcoxon signed-rank test to compare paired samples. The results are used to give recommendations for which kind of surface which feature line technique is most appropriate.
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Baer, A., Lawonn, K., Saalfeld, P., Preim, B. (2015). Statistical Analysis of a Qualitative Evaluation on Feature Lines. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_14
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DOI: https://doi.org/10.1007/978-3-662-46224-9_14
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