Mining knowledge from large databases has been the focus of many recent studies and applications. Mining association rules in medical images is an important part in domain-specific application image mining because there are several technical aspects which make this problem challenging. In this paper, we firstly propose ROI extraction and clustering algorithm with domain knowledge constraint, then we extend the concept of association rule based on ROI and image in medical images, and propose two algorithms to discover frequent item-sets and mine association rules from medical images. Some interesting results are obtained by our program and we believe many of the problems we come across are likely to appear in other domains.
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