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7 July 2004 Information-theory-based registration and segmentation of medical images
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Proceedings Volume 5505, Optical Methods, Sensors, Image Processing, and Visualization in Medicine; (2004) https://doi.org/10.1117/12.577941
Event: Optical Methods, Sensors, Image Processing, and Visualization in Medicine, 2003, Gdansk, Poland
Abstract
Growing popularity of non invasive medical techniques makes accurate and reliable diagnostics based on image data more and more important. It is necessary to implement modern, highly automated image processing techniques. Information theory and statistics provide a means to create such systems. In this paper we discuss application of entropy and mutual information in segmentation and registration of real world medical images.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karol Kuczynski and Pawel Mikolajczak "Information-theory-based registration and segmentation of medical images", Proc. SPIE 5505, Optical Methods, Sensors, Image Processing, and Visualization in Medicine, (7 July 2004); https://doi.org/10.1117/12.577941
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