Abstract
We are interested in how well the human visual system performs signal detection, discrimination, identification and recognition tasks given noise-limited medical images. This paper will discuss the use of statistical decision theory concepts to understand both fundamental and human limits of decision accuracy. In particular, the IDEAL OBSERVER concept will be emphasized.
The five major sections of the paper include an introduction to visual system design and operation; theoretical aspects of signal detection; methods of measuring observer performance; a review of the medical imaging literature on observer performance; and some example applications to system design problems.
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Burgess, A.E. (1992). Perception and Detection of Signals in Medical Images. In: Todd-Pokropek, A.E., Viergever, M.A. (eds) Medical Images: Formation, Handling and Evaluation. NATO ASI Series, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77888-9_7
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