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Content-based Retrieval and Data Mining of a Skin Cancer Image Database
Las Vegas, NV April 02-April 04
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITCC.2001.918864International Conference on Informati ...
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Soon M. Chung, Wright State University
Qing Wang, Wright State University
Abstract: Skin cancer is the most common type of cancer in the United State. A large, shared skin cancer image database on the Internet will be quite valuable to the medical professionals and consumers. In this paper, a skin cancer image database is created using a three-tier system: a client application implemented in Java applets, a web server, and a backend database server. JDBC-ODBC is used for the web server to communicate with the database server. Various browsing and content-based retrieval methods are supported for the skin cancer image database through web-based graphic user interfaces. A data mining algorithm for finding association rules between different features of the skin cancer images is also implemented.
Index Terms:
data mining, association rules, Web database, multimedia, skin cancer images.
Citation:
Soon M. Chung, Qing Wang, "Content-based Retrieval and Data Mining of a Skin Cancer Image Database," itcc, pp.0611, International Conference on Information Technology: Coding and Computing (ITCC '01), 2001
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