Serial Dependence in Dermatological Judgments.

Serial Dependence in Dermatological Judgments.
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DOI:
10.3390/diagnostics13101775
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发表时间:
2023-05-17
期刊:
影响因子:
3.6
通讯作者:
Whitney, David
Whitney, David
中科院分区:
医学3区
文献类型:
--
作者:
Ren, Zhihang;Li, Xinyu;Pietralla, Dana;Manassi, Mauro;Whitney, David

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连续依赖是一种普遍存在的视觉现象,在这种现象中,连续观看的图像看起来比实际情况更相似,从而促进了人类观察者高效而稳定的感知体验。尽管序列依赖在自然相关的视觉世界中是自适应的,也是有益的,这是一种平滑的知觉体验,但在人工环境中,如医学图像感知任务,它可能会变得不适应,其中视觉刺激是随机排序的。在这里,我们分析了一个在线应用程序中的758,139条皮肤癌诊断记录,并使用计算机视觉模型和人类评分者量化了连续皮肤病图像之间的语义相似性。然后,我们测试了在皮肤病判断中是否存在感知上的序列依赖,作为图像相似性的函数。我们发现在对病变恶性的知觉辨别判断中存在显著的序列依赖性。此外,序列依赖被调整到图像中的相似性,并且随着时间的推移而衰减。结果表明,相对现实的存储转发皮肤病的判断可能会受到序列依赖的影响。这些发现有助于理解医学图像知觉任务中系统性偏差和误差的一个潜在来源,并提示了一些有用的方法,可以减轻由于序列依赖而产生的误差。
Serial Dependence is a ubiquitous visual phenomenon in which sequentially viewed images appear more similar than they actually are, thus facilitating an efficient and stable perceptual experience in human observers. Although serial dependence is adaptive and beneficial in the naturally autocorrelated visual world, a smoothing perceptual experience, it might turn maladaptive in artificial circumstances, such as medical image perception tasks, where visual stimuli are randomly sequenced. Here, we analyzed 758,139 skin cancer diagnostic records from an online app, and we quantified the semantic similarity between sequential dermatology images using a computer vision model as well as human raters. We then tested whether serial dependence in perception occurs in dermatological judgments as a function of image similarity. We found significant serial dependence in perceptual discrimination judgments of lesion malignancy. Moreover, the serial dependence was tuned to the similarity in the images, and it decayed over time. The results indicate that relatively realistic store-and-forward dermatology judgments may be biased by serial dependence. These findings help in understanding one potential source of systematic bias and errors in medical image perception tasks and hint at useful approaches that could alleviate the errors due to serial dependence.
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