Paper
4 May 2004 Human efficiency in the detection and discrimination tasks
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Abstract
We investigated human efficiency in a discrimination task and compared it to human efficiency in an associated detection task. The goal of this study was to investigate the relationship between image quality and shape discrimination in radiographic images. We conducted 2-AFC observer experiments to determine human performance and compared it to ideal observer performance in the SKE-BKE detection and discrimination tasks. We found that human efficiency was significantly lower for the discrimination task than for the detection task, and discrimination performance also depended on the actual object shape. The results support our hypothesis that the shape of individual microcalcifications in a mammogram cannot be identified reliably, unless the two microcalcification shapes in question are substantially different, such as punctate and linear.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ingrid Reiser, Charles E. Metz, and Robert M. Nishikawa "Human efficiency in the detection and discrimination tasks", Proc. SPIE 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment, (4 May 2004); https://doi.org/10.1117/12.536214
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Cited by 1 scholarly publication.
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KEYWORDS
Signal detection

Signal to noise ratio

Calibration

Image quality

Stars

Interference (communication)

Mammography

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