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Diagnostic Support Systems and Computational Intelligence: Differential Diagnosis of Hepatic Lesions from Computed Tomography Images
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Author(s): Stavroula Mougiakakou (National Technical University of Athens, Greece), Ioannis Valavanis (National Technical University of Athens, Greece), Alexandra Nikita (University of Athens and Diagnostic Imaging Center for the Woman and Child, Greece)and Konstantina S. Nikita (National Technical University of Athens, Greece)
Copyright: 2012
Pages: 15
Source title:
Machine Learning: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-60960-818-7.ch511
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Abstract
Recent advances in computer science provide the intelligent computation tools needed to design and develop Diagnostic Support Systems (DSSs) that promise to increase the efficiency of physicians during their clinical practice. This chapter provides a brief overview of the use of computational intelligence methods in the design and development of DSSs aimed at the differential diagnosis of hepatic lesions from Computed Tomography (CT) images. Furthermore, examples of DSSs developed by our research team for supporting the diagnosis of focal liver lesions from non-enhanced CT images are presented.
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