DocumentCode
843537
Title
Relevance of statistically significant differences between reconstruction algorithms
Author
Matej, Samuel ; Furuie, Sergio S. ; Herman, Gabor T.
Author_Institution
Dept. of Radiol., Pennsylvania Univ., Philadelphia, PA, USA
Volume
5
Issue
3
fYear
1996
fDate
3/1/1996 12:00:00 AM
Firstpage
554
Lastpage
556
Abstract
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
Keywords
image reconstruction; statistical analysis; evaluation methodology; figures of performance merit; reconstruction algorithms; relevance; statistical significance; statistically significant differences; Biomedical image processing; Biomedical imaging; Humans; Image analysis; Image processing; Image reconstruction; Medical tests; Radiology; Reconstruction algorithms; Testing;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.491331
Filename
491331
Link To Document