Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram
Abstract Expert radiologists can discern normal from abnormal mammograms with above-chance accuracy after brief (e.g. 500 ms) exposure. They can even predict cancer risk viewing currently normal images (priors) from women who will later develop cancer. This involves a rapid, global, non-selective pr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-11-01
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| Series: | Cognitive Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41235-021-00339-5 |