Abstract
This paper presents the architecture of an image administration system that supports the medical practice in tasks such as teaching, diagnosis and telemedicine. The proposed system has a multi-tier, web-based architecture and supports content-based retrieval. The paper discusses the design aspects of the system as well as the proposed contentbased retrieval approach. The system was tested with real pathology images to evaluate its performance, reaching a precision rate of 67%. The detailed results are presented and discussed. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Caicedo, J. C., González, F. A., Triana, E., & Romero, E. (2007). Design of a medical image database with content-based retrieval capabilities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4872 LNCS, pp. 919–931). Springer Verlag. https://doi.org/10.1007/978-3-540-77129-6_77
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