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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

Generalized Shape Language Application to Detection of a Specific Type of Bone Erosion in X-ray Images

verfasst von : Marzena Bielecka, Mariusz Korkosz

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

X-ray imaging is crucial in diagnosis of various musculoskeletal diseases. During early disease process, the X-ray changes are often scarce and difficult to capture and the definite localization of osteophytes or erosions is often challenging. Therefore, the attempt to use computer methods to facilitate better diagnosing is of great value. Formal tools for contour description are based on string languages. In Jakubowski’s shape languages sixteen primitives are predefined. Finite collection of primitives, however is insufficient for describing natural objects because of irregular character of this type of objects. In this paper the generalized shape language, in which primitives are defined on a higher level of abstraction, is proposed and is used for description and detection of a special type of complex erosions in bone contours.

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Vorheriges Kapitel Multi-chaotic System Induced Success-History Based Adaptive Differential Evolution
Nächstes Kapitel On the Relation Between kNN Accuracy and Dataset Compression Level
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Metadaten
Titel
Generalized Shape Language Application to Detection of a Specific Type of Bone Erosion in X-ray Images
verfasst von
Marzena Bielecka
Mariusz Korkosz
Copyright-Jahr
2016
Buch
Artificial Intelligence and Soft Computing

Print ISBN: 978-3-319-39377-3

Electronic ISBN: 978-3-319-39378-0

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-39378-0_45