Statistical Support for Uncertainty in Radiological Diagnosis

D. Teather; B. A. Teather; N. P. Jeffery; G. H. du Boulay; B. du Boulay; M. Sharples

doi:10.1055/s-0038-1634262

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2000; 39(01): 1-6
DOI: 10.1055/s-0038-1634262

Original Article

Schattauer GmbH

Statistical Support for Uncertainty in Radiological Diagnosis

D. Teather

¹Department of Medical Statistics, De Montfort University, Leicester

,

B. A. Teather

¹Department of Medical Statistics, De Montfort University, Leicester

,

N. P. Jeffery

¹Department of Medical Statistics, De Montfort University, Leicester

,

G. H. du Boulay

¹Department of Medical Statistics, De Montfort University, Leicester

²Institute of Neurology, London

,

B. du Boulay

³School of Cognitive and Computing Sciences, University of Sussex, UK

,

M. Sharples

⁴School of Electronic and Electrical Engineering, University of Birmingham, UK

› Author Affiliations

Abstract

Abstract:

Radiological interpretation and diagnosis involves the comparison and classification of complex medical images and is typical of the categorisation tasks that have been the subject of observational studies in Cognitive Science. This paper considers the affinity between statistical modelling and theories of categorisation for naturally occurring categories. Statistical based measures of similarity and typicality with a probabilistic interpretation are derived. The utilisation of these measures in the support of diagnosis under uncertainty via interactive overview plots is described. The application of the methodology to magnetic resonance imaging of the head is considered. The methods detailed have application to other fields involving archiving and retrieving of image data.

Keywords:

Statistical Diagnosis - Categorisation - Typicality - Similarity - Medical Imaging

Full Text

References

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