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Trainable models for the interpretation of echocardiogram images

  • 8. Rule Based Systems And Learning
  • Conference paper
  • First Online:
Information Processing in Medical Imaging (IPMI 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 511))

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Abstract

In this paper we report on the use of explicit models in the interpretation of echocardiogram images. The problem is considered as an example of a general biomedical image interpretation task and the modelling techniques used can be applied to a wide range of problems. The models are built as a hierarchy of components and the parameters of each component are determined from training examples and prior “expert” knowledge. For each component the model encodes information about the average case and information about the expected distributions, for example sizes, shapes and positions. The models are used within the interpretation process to assess hypothesised matches and to guide further processing. Details of the design and implementation of the model components, the refinements and training techniques and the results of application to the echocardiogram images are presented.

Supported on an SERC grant as part of the Alvey project MMI/134

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Author information

Authors and Affiliations

  1. MRC Human Genetics Unit, Western General Hospital, Crewe Road, EH2 2XU, Edinburgh, UK

    Richard A Baldock

Authors
  1. Richard A Baldock
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Editor information

Alan C. F. Colchester David J. Hawkes

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© 1991 Springer-Verlag Berlin Heidelberg

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Baldock, R.A. (1991). Trainable models for the interpretation of echocardiogram images. In: Colchester, A.C.F., Hawkes, D.J. (eds) Information Processing in Medical Imaging. IPMI 1991. Lecture Notes in Computer Science, vol 511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033769

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  • DOI: https://doi.org/10.1007/BFb0033769

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54246-9

  • Online ISBN: 978-3-540-47521-7

  • eBook Packages: Springer Book Archive

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