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

Détails

ID Serval
serval:BIB_47DBFC01EDAD
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Mass detection on mammograms: influence of signal shape uncertainty on human and model observers.
Périodique
Journal of the Optical Society of America. A, Optics, Image Science, and Vision
Auteur(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
Statut éditorial
Publié
Date de publication
2009
Peer-reviewed
Oui
Volume
26
Numéro
2
Pages
425-436
Langue
anglais
Résumé
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
Création de la notice
24/02/2009 16:21
Dernière modification de la notice
03/03/2018 16:50
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