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Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning Read chapter Read first chapter

2016 | OriginalPaper | Chapter

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

Authors : Marzena Bielecka, Mariusz Korkosz

Published in: Artificial Intelligence and Soft Computing

Publisher: 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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Metadata
Title
Generalized Shape Language Application to Detection of a Specific Type of Bone Erosion in X-ray Images
Authors
Marzena Bielecka
Mariusz Korkosz
Copyright Year
2016
Book
Artificial Intelligence and Soft Computing

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

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

Copyright Year: 2016

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

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