Analog Computer-Aided Detection (CAD) information can be more effective than binary marks
Crossref DOI link: https://doi.org/10.3758/s13414-016-1250-0
Published Online: 2016-12-07
Published Print: 2017-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Cunningham, Corbin A.
Drew, Trafton
Wolfe, Jeremy M.
Funding for this research was provided by:
National Institutes of Health (1F32EB011959-01)
National Eye Institute (NIH – NEI EY017001)
License valid from 2016-12-07