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Publication Detail
Model-based recognition of anatomical objects from medical images
  • Publication Type:
    Conference
  • Authors:
    Robinson GP, Colchester ACF, Griffin LD
  • Publication date:
    01/01/1993
  • Pagination:
    197, 211
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    687 LNCS
  • ISBN-13:
    9783540568001
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
© Springer-Verlag Berlin Heidelberg 1993. We present both a high-level symbolic model of the human brain, and a method of using this model to aid in the recognition of objects from medical images. The model is stored as a frame based semantic network consisting of three coexisting graphs (a spatial adjacency graph; a part hierarchy; and an inheritance graph). We propose a method similar to assumption-based truth maintenance systems for the collating and reasoning processes required in the labelling of input images.
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