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在噪声中检测不熟悉的视觉信号方面具有专家优势。

An expert advantage in detecting unfamiliar visual signals in noise.

机构信息

Department of Psychology, American University of Beirut, Riad El-Solh, Beirut 1107 2020, Lebanon

出版信息

Proc Natl Acad Sci U S A. 2020 Oct 13;117(41):25935-25941. doi: 10.1073/pnas.2003761117. Epub 2020 Sep 30.

Abstract

Diagnostic radiologists are experts in discriminating and classifying medical images for clinically significant anomalies. Does their perceptual expertise confer an advantage in unfamiliar visual tasks? Here, this issue was investigated by comparing the performance of 10 radiologists and 2 groups of novices on the ability to detect novel visual signals: band-limited textures in noise. Observers performed a yes/no detection task in which texture spatial frequency and external noise levels were varied. The task was performed on two consecutive days. Contrast thresholds and response bias were measured. Contrast thresholds of radiologists were superior to the control groups in all stimulus conditions on both days. Performance improved by an equivalent amount for all groups across days. Response bias differed consistently across stimulus conditions and days but not across groups. The difference in thresholds between the radiologists and control groups suggests that experience in diagnostic medical imaging produces perceptual skills that that transfer beyond the trained domain.

摘要

诊断放射科医生是专门从事医学图像的鉴别和分类工作的,目的是发现有临床意义的异常。他们的感知专长是否能在不熟悉的视觉任务中带来优势?在这里,通过比较 10 名放射科医生和两组新手在检测新的视觉信号(噪声中的带限纹理)的能力上的表现,研究了这个问题。观察者执行了一个是/否检测任务,其中改变了纹理空间频率和外部噪声水平。该任务在两天内进行。测量了对比度阈值和响应偏差。在所有刺激条件下,放射科医生的对比度阈值在两天内均优于对照组。所有组的表现都在两天内以相同的幅度提高。响应偏差在刺激条件和两天内都有差异,但在组间没有差异。放射科医生和对照组之间的阈值差异表明,在诊断医学成像方面的经验产生了超越训练领域的感知技能。

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