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Perceptual indiscernibility, rough sets, descriptively near sets, and image analysis
Transactions on Rough Sets XV
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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.