Medical Image Processing With Neural Network Algorithms
- Authors
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Gabriel Simion
University Politehnica of Bucharest, Automatic Control and Systems Engineering Department
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Monica Dragoicea
University Politehnica of Bucharest, Automatic Control and Systems Engineering Department
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Lucian Parvu
University Politehnica of Bucharest, Automatic Control and Systems Engineering Department
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- Abstract
- At present, the trend is toward developing intelligent medical systems, to better match medical technology to the needs of the user to improve the quality of healthcare, and to provide an objective evaluation of healthcare practices which have traditionally been individualized after initial training. In this work, image processing techniques are performed on two levels: basic processing level for image enhancement and image filtering, and advanced level for pattern recognition tasks. This paper proposes a method for filter implementation using neural networks algorithms. These algorithms are implemented in SNNS, C and Java, and were tested on Computed Tomography (CT) Medical Images.
- References
- Published
- 2002-06-30
- Issue
- Vol. 4 No. 2 (2002)
- Section
- Articles