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An open web services - Based framework for data mining of biomedical image data

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Autor
Doukas, C.; Maglogiannis, I.; Chatziioannou, A.
Datum
2009
DOI
10.1109/ITAB.2009.5394403
Schlagwort
Biomedical image mining
Image processing
Web services
Biomedical image data
Biomedical images
Color processing
Complex image
Complex procedure
Feature extraction and classification
Image processing pipeline
Open frameworks
Skin lesion images
Tools and methods
Work-flows
Workflow managements
Cryptography
Feature extraction
Image analysis
Image enhancement
Imaging systems
Information technology
Management
Network security
Work simplification
Pipeline processing systems
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Zusammenfassung
Mining of biomedical image data is a complex procedure that requires several processing phases, such as data acquisition, preprocessing (e.g., image enhancement, color processing), feature extraction and classification. Tools exist that provide each one of these functions individually, however proper integration is required for complex image analysis tasks. This paper presents an open framework based on Web Services that provides access to tools and methods for data mining of biomedical image data. The described tools implemented as Web Services can be directly integrated to the TAVERNA or a similar workflow management platform, allowing their integration in several workflows corresponding to different image processing pipelines. Proper authentication and encryption mechanisms have been utilized in order to guarantee the appropriate security. A case study of classification of skin lesion images is presented to demonstrate the functionality of the proposed framework. ©2009 IEEE.
URI
http://hdl.handle.net/11615/27182
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