Conference proceeding
Different search patterns and similar decision outcomes: How can experts agree in the decisions they make when reading digital mammograms?
Digital Mammography, Proceedings, Vol.5116, pp.212-219
Lecture Notes in Computer Science
01/01/2008
DOI: 10.1007/978-3-540-70538-3_30
Abstract
Experts may agree in most decisions that they make when they read a case set of digital mammograms, but eye-position tracking studies suggest that they use very different visual search strategies to make such decisions. If indeed each expert uses a unique strategy, it may be very difficult to teach radiology trainees effective ways to search the background parenchyma. In this study, we examined how much agreement exists in the actual locations used by the experts in their decision making process when reading digital mammograms.
Details
- Title: Subtitle
- Different search patterns and similar decision outcomes: How can experts agree in the decisions they make when reading digital mammograms?
- Creators
- Claudia Mello-Thoms - University of PittsburghMarie Ganott - University of PittsburghJules Sumkin - University of PittsburghChristiane Hakim - University of PittsburghCynthia Britton - University of PittsburghLuisa Wallace - University of PittsburghLara Hardesty - Univ Colorado Hlth Syst, Dept Radiol, Denver, CO USA
- Contributors
- E A Krupinski (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- Digital Mammography, Proceedings, Vol.5116, pp.212-219
- Publisher
- Springer Nature
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-540-70538-3_30
- ISSN
- 0302-9743
- eISSN
- 1611-3349
- Number of pages
- 2
- Grant note
- 100107 / NIH/NCI; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) EB002120 / NIH/NIBIB; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Biomedical Imaging & Bioengineering (NIBIB)
- Language
- English
- Date published
- 01/01/2008
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984318707002771
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