Redundancy gain in visual search of simulated X-ray images

被引:0
作者
Claudia R. Hebert
Li Z. Sha
Roger W. Remington
Yuhong V. Jiang
机构
[1] University of Minnesota,Department of Psychology
[2] University of Queensland,School of Psychology
来源
Attention, Perception, & Psychophysics | 2020年 / 82卷
关键词
Visual search; Selective attention; Eye movements; Visual attention;
D O I
暂无
中图分类号
学科分类号
摘要
Cancer diagnosis frequently relies on the interpretation of medical images such as chest X-rays and mammography. This process is error prone; misdiagnoses can reach a rate of 15% or higher. Of particular interest are false negatives—tumors that are present but missed. Previous research has identified several perceptual and attentional problems underlying inaccurate perception of these images. But how might these problems be reduced? The psychological literature has shown that presenting multiple, duplicate images can improve performance. Here we explored whether redundant image presentation can improve target detection in simulated X-ray images, by presenting four identical or similar images concurrently. Displays with redundant images, including duplicates of the same image, showed reduced false-negative rates, compared with displays with a single image. This effect held both when the target’s prevalence rate was high and when it was low. Eye tracking showed that fixating on two or more images in the redundant condition speeded target detection and prolonged search, and that the latter effect was the key to reducing false negatives. The redundancy gain may result from both perceptual enhancement and an increase in the search quitting threshold.
引用
收藏
页码:1669 / 1681
页数:12
相关论文
共 143 条
[1]  
Adamo SH(2013)Self-induced attentional blink: A cause of errors in multiple-target search Psychological Science 24 2569-2574
[2]  
Cain MS(2019)Predicting breast cancer by applying deep learning to linked health records and mammograms Radiology 292 331-342
[3]  
Mitroff SR(2009)Spatial ensemble statistics are efficient codes that can be represented with reduced attention Proceedings of the National Academy of Sciences 106 7345-7350
[4]  
Akselrod-Ballin A(1994)Missed fractures resulting from satisfaction of search effect Emergency Radiology 1 242-249
[5]  
Chorev M(2019)Artificial intelligence in cancer imaging: Clinical challenges and applications CA: A Cancer Journal for Clinicians 69 127-157
[6]  
Shoshan Y(2001)Human observer detection experiments with mammograms and power-law noise Medical Physics 28 419-437
[7]  
Spiro A(2017)Perceptual training to improve hip fracture identification in conventional radiographs PLoS ONE 12 39-78
[8]  
Hazan A(1996)Just say no: How are visual searches terminated when there is no target present? Cognitive Psychology 30 198-211
[9]  
Melamed R(2007)Computer-aided diagnosis in medical imaging: Historical review, current status and future potential Computerized Medical Imaging and Graphics 31 43-49
[10]  
Guindy M(2013)Looking for cancer: Expertise related differences in searching and decision making Applied Cognitive Psychology 27 1260-1267