Abstract
Digital imaging has revolutionized the field of medical imaging and has led to the development of sophisticated computer hardware technologies and specialized software that empower physicians to better distinguish abnormalities, characterize findings, supervise interventions and predict prognosis. In fact, CAD is one of the major research subjects in medical imaging and diagnostic radiology. These benefits have motivated researchers to develop dedicated systems to specific medical domains from clinical decision making to medical education and research. The medical imaging field has generated additional interest in methods and tools for the management and analysis of these images. It is important to extend such applications by supporting the retrieval of medical images by content.
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Rajaei, A., Rangarajan, L. (2011). Matching and Retrieval of Medical Images. In: Abraham, A., Corchado, J.M., González, S.R., De Paz Santana, J.F. (eds) International Symposium on Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19934-9_4
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DOI: https://doi.org/10.1007/978-3-642-19934-9_4
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