Learning to interpret medical images

Learning to interpret medical images

Statistical shape and appearance models are proving valuable tools for medical image analysis. In this paper we outline the methodology and highlight important recent developments. In particular, we consider an extension to images of differing modality, and describe an optimisation approach to estab...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Taylor, C., Cootes, T., Davies, R., Twining, C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biomedical engineering
Biomedical imaging
Biomedical measurements
Data analysis
Image analysis
Principal component analysis
Shape control
Shape measurement
Size measurement
Vectors
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Beschreibung
Zusammenfassung:Statistical shape and appearance models are proving valuable tools for medical image analysis. In this paper we outline the methodology and highlight important recent developments. In particular, we consider an extension to images of differing modality, and describe an optimisation approach to establishing correspondences across a training set of shapes.
DOI:10.1109/ISBI.2002.1029186