Abstract
This study examined how experienced and less experienced breast screening personnel performed when they examined DICOM screening cases in three conditions: on digital mammography workstations, a LCD monitor and an iPhone. In each condition they either viewed the full images unaided or used post-processing manipulations (HCI). For each case they reported features, rated their confidence on abnormality presence and classified the case. Their visual search behaviour was recorded as well as behavioural data. Additionally, their screening experience was derived from data on a national scheme as well as actual screening information. Both experienced and less experienced screeners performed best on the clinical workstation, however good performance was also demonstrated on the monitor using HCI, with iPhone performance being poor. Overall, results indicate that low cost devices could be used to provide additional tailored training as long as device resolution and HCI aspects are carefully considered.
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Chen, Y., Gale, A. (2010). Mammographic Interpretation Training: How Could Low Cost Display Devices Help?. In: MartÃ, J., Oliver, A., Freixenet, J., MartÃ, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_48
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DOI: https://doi.org/10.1007/978-3-642-13666-5_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13665-8
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