Relevance of statistically significant differences between reconstruction algorithms

Relevance of statistically significant differences between reconstruction algorithms

When comparing reconstruction algorithms, differences in figures of performance merit that are too small to be of any practical relevance may still be statistically significant. We formalize the notion of "relevance" and propose an evaluation methodology in which statistical significance i...

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Veröffentlicht in:IEEE transactions on image processing 1996-03, Vol.5 (3), p.554-556
Hauptverfasser: Matej, S., Furuie, S.S., Herman, G.T.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Biomedical image processing
Biomedical imaging
Exact sciences and technology
Humans
Image analysis
Image processing
Image reconstruction
Information, signal and communications theory
Medical tests
Radiology
Reconstruction algorithms
Signal processing
Telecommunications and information theory
Testing
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Beschreibung
Zusammenfassung:When comparing reconstruction algorithms, differences in figures of performance merit that are too small to be of any practical relevance may still be statistically significant. We formalize the notion of "relevance" and propose an evaluation methodology in which statistical significance is retained for relevant improvements, but not for irrelevant ones.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.491331