Computer-Aided Detection and Diagnosis in Medical Imaging
Case-based CAD systems in breast imaging
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, Chapter
Tourassi, GD; Mazurowski, MA
January 1, 2015
Knowledge-based systems (KBS) is a general term used to describe artificial intelligence techniques that rely on domain-specific knowledge to solve a new problem within that domain. The ultimate role of knowledge-based systems is to support human decision-making, learning, and action [1]. In that respect, all breast imaging CAD systems developed for detection, diagnosis, risk assessment, prognosis and other applications are essentially different examples of KBS technology. What differentiate these CAD systems are mainly the application domain (determined by the imaging modality and the clinical task of interest) and the methodologies used to represent the domain-specific knowledge and make inferences.
Duke Scholars
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Tourassi, G. D., & Mazurowski, M. A. (2015). Case-based CAD systems in breast imaging. In Computer-Aided Detection and Diagnosis in Medical Imaging (pp. 95–109). https://doi.org/10.1201/b18191
Tourassi, G. D., and M. A. Mazurowski. “Case-based CAD systems in breast imaging.” In Computer-Aided Detection and Diagnosis in Medical Imaging, 95–109, 2015. https://doi.org/10.1201/b18191.
Tourassi GD, Mazurowski MA. Case-based CAD systems in breast imaging. In: Computer-Aided Detection and Diagnosis in Medical Imaging. 2015. p. 95–109.
Tourassi, G. D., and M. A. Mazurowski. “Case-based CAD systems in breast imaging.” Computer-Aided Detection and Diagnosis in Medical Imaging, 2015, pp. 95–109. Scopus, doi:10.1201/b18191.
Tourassi GD, Mazurowski MA. Case-based CAD systems in breast imaging. Computer-Aided Detection and Diagnosis in Medical Imaging. 2015. p. 95–109.