The radiology task: Bayesian theory and perception

Tim Donovan; David J. Manning

doi:10.1259/bjr/98148548

The radiology task: Bayesian theory and perception

Tim Donovan
, David J. Manning

University of Cumbria

Research output: Contribution to journal › Journal Article › peer-review

Abstract

The use of a Bayesian framework to understand how radiologists search images for pathology is important as it formalizes, mathematically, how visual and cognitive processes control eye movements by modelling the ideal searcher against which human performance can be compared. It is important that the interpretation of medical images is understood so that new developments in the ways images are presented and the use of image processing software are matched to human abilities and limitations.

Original language	English
Pages (from-to)	389-391
Journal	British Journal of Radiology
Volume	80
Early online date	28 Jan 2014
DOIs	https://doi.org/10.1259/bjr/98148548
Publication status	Published online - 28 Jan 2014

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The radiology task: Bayesian theory and perception

Abstract

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