ArticleJournal of medical imaging (Bellingham, Wash.)2020
Gist processing in digital breast tomosynthesis.
Article in Journal of medical imaging (Bellingham, Wash.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Computer-extracted global radiomic features can predict the radiologists' first impression about the abnormality of a screening mammogram.The British journal of radiology · 2024Article
- Article
- Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners.Cognitive research: principles and implications · 2022Article
- Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram.Cognitive research: principles and implications · 2021Article
- Characteristics of expert search behavior in volumetric medical image interpretation.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- What can an echocardiographer see in briefly presented stimuli? Perceptual expertise in dynamic search.Cognitive research: principles and implications · 2020Article
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Authors and funding
4 authors.
Funding
Abstract
Evans et al. (2016) showed that radiologists can classify the mammograms as normal or abnormal at above-chance levels after a 250-ms exposure. Our study documents a similar gist signal in digital breast tomosynthesis (DBT) images. DBT is a relatively new technology that creates a three-dimensional image set of slices through the volume of the breast. It improves performance over two-dimensional (2-D) mammography but at a cost in reading time. In the experiment presented, radiologists (
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Registered trials
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