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Dataset Information

Finding cancer in mammograms: if you know it's there, do you know where?


ABSTRACT: Humans can extract considerable information from scenes, even when these are presented extremely quickly. The ability of an experienced radiologist to rapidly detect an abnormality on a mammogram may build upon this general capacity. Although radiologists have been shown to be able to detect an abnormality 'above chance' at short durations, the extent to which abnormalities can be localised at brief presentations is less clear. Extending previous work, we presented radiologists with unilateral mammograms, 50% containing a mass, for 250 or 1000 ms. As the female breast varies with respect to the level of normal fibroglandular tissue, the images were categorised into high and low density (50% of each), resulting in difficult and easy searches, respectively. Participants were asked to decide

SUBMITTER: Carrigan AJ 

PROVIDER: S-EPMC5904219 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature