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XML as a cross-platform representation for medical imaging with fuzzy algorithms.
Norbert Gal1, Vasile Stoicu-Tivadar
1University of Timisoara, Department of Automation and Applied Informatics, Timişoara, Romania. nobert.gal@aut.upt.ro
Studies in Health Technology and Informatics
|June 21, 2011
Summary
This study introduces an XML representation for fuzzy algorithms, enabling cross-platform compatibility between simulation frameworks and medical image interpretation applications. This facilitates seamless integration and data exchange for fuzzy logic systems.
Area of Science:
- Computer Science
- Medical Imaging
- Artificial Intelligence
Background:
- Fuzzy algorithms are crucial for linguistic medical image interpretation.
- Existing simulation frameworks lack compatibility with implemented applications.
Purpose of the Study:
- To propose an XML-based representation for fuzzy algorithms.
- To establish a cross-platform solution for fuzzy algorithm simulation and application integration.
Main Methods:
- Developed an XML file representation for fuzzy algorithms.
- Implemented a parsing algorithm to convert simulation framework files into XML.
- Ensured dynamic conversion while preserving the logical structure of the original files.
Main Results:
- Successfully created a standardized XML format for fuzzy algorithms.
- The parsing algorithm effectively converts existing files into the XML format.
- Demonstrated cross-platform compatibility between simulation and application software.
Conclusions:
- The proposed XML representation enhances interoperability for fuzzy logic systems in medical image interpretation.
- This approach overcomes compatibility issues, streamlining the development and deployment of fuzzy algorithm applications.
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