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Inter-patient analysis of tomographic data

 
: Busch, C.

:

IEEE Computer Society, Technical Committee on Computational Medicine; IEEE Engineering in Medicine and Biology Society -EMBS-:
Tenth IEEE Symposium on Computer-Based Medical Systems 1997. Proceedings
Brussels: IEEE Computer Society Press, 1997
ISBN: 0-8186-7928-X
S.173-178
Symposium on Computer-Based Medical Systems <10, 1997, Maribor>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
combination method; neural network; segmentation; texture discrimination; tissue classification

Abstract
This paper considers the computer-based support for the localization of pathological tissue within tomographic data. The subject of the approach is the inter-patient analysis of brain tissue types such as tumor, CSF, white matter, grey matter, bone, fat tissue and background. The class tumor hereby represents the superset of pathological tissue. The analysis pipeline of the presented approach contains feature extraction classification, twostep texture analysis and morphological postprocessing. Furthermore the paper reports results, that have been reached on the different steps of the pipeline.

: http://publica.fraunhofer.de/dokumente/PX-19561.html