Mass detection on mammograms: influence of signal shape uncertainty on human and model observers.

Details

Serval ID
serval:BIB_47DBFC01EDAD
Type
Article: article from journal or magazin.
Collection
Publications
Title
Mass detection on mammograms: influence of signal shape uncertainty on human and model observers.
Journal
Journal of the Optical Society of America. A, Optics, Image Science, and Vision
Author(s)
Castella C., Eckstein M.P., Abbey C.K., Kinkel K., Verdun F.R., Saunders R.S., Samei E., Bochud F.O.
ISSN
1084-7529
Publication state
Published
Issued date
2009
Peer-reviewed
Oui
Volume
26
Number
2
Pages
425-436
Language
english
Abstract
We studied the influence of signal variability on human and model observers for detection tasks with realistic simulated masses superimposed on real patient mammographic backgrounds and synthesized mammographic backgrounds (clustered lumpy backgrounds, CLB). Results under the signal-known-exactly (SKE) paradigm were compared with signal-known-statistically (SKS) tasks for which the observers did not have prior knowledge of the shape or size of the signal. Human observers' performance did not vary significantly when benign masses were superimposed on real images or on CLB. Uncertainty and variability in signal shape did not degrade human performance significantly compared with the SKE task, while variability in signal size did. Implementation of appropriate internal noise components allowed the fit of model observers to human performance.
Pubmed
Web of science
Create date
24/02/2009 16:21
Last modification date
03/03/2018 16:50
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