Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Multiscale Similarity Matching for Subimage Queries of Arbitrary Size
VDB4 Proceedings of the IFIP TC2/WG 2.6 Fourth Working Conference on Visual Database Systems 4
Efficient dynamic mining of constrained frequent sets
ACM Transactions on Database Systems (TODS)
A tree-based approach for frequent pattern mining from uncertain data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
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In this paper, we apply computer science and software engineering techniques in, and bring benefits to, real-life applications. Specifically, we propose a design for a computeraided change detection system, which uses both image processing and data mining techniques, to help clinicians diagnose bleeding in children's brains---i.e., in medical terms, paediatric acute intracranial haemorrhage (AIH). The proposed system provides clinicians with computerized analysis of medical images in the form of computed tomography (CT) scans of the heads of children patients. This, in turn, leads to more efficient detection, diagnosis, and progress evaluation of paediatric AIH.