Idiosyncratic biases in the perception of medical images

Wang, ZixuanManassi, MauroRen, ZhihangGhirardo, CristinaCanas-Bajo, TeresaMurai, YukiZhou, MinWhitney, David2022-12-202022-12-202022-12-19Wang, Z, Manassi, M, Ren, Z, Ghirardo, C, Canas-Bajo, T, Murai, Y, Zhou, M & Whitney, D 2022, 'Idiosyncratic biases in the perception of medical images', Frontiers in Psychology, vol. 13, 1049831. https://doi.org/10.3389/fpsyg.2022.10498311664-1078unpaywall: 10.3389/fpsyg.2022.1049831ORCID: /0000-0003-4210-7570/work/125097821https://hdl.handle.net/2164/19758Funding This work was supported in part by the National Institutes of Health (grant number: R01 CA236793-01). Publication made possible in part by support from the Berkeley Research Impact Initiative (BRII) sponsored by the UC Berkeley Library. Acknowledgments Raw data from Experiment 1 and 2 were obtained from Manassi et al. (2021) and Ren et al. (2022). Parts of these datasets have been previously presented at conferences including VSS and ECVP.151517087engmedical image perceptionIndividual differencesGAN-simulated medical imagesperceptual biasesradiologist performanceBF PsychologyBFIdiosyncratic biases in the perception of medical imagesJournal article10.3389/fpsyg.2022.104983113