An Image Mining Medical Warehouse

Advances in medical imaging technologies have assured the availability of more and more precise and detailed images whose analysis has became a necessary step in the diagnostic, prognostic and monitoring processes of main pathologies. Such development has stressed the need for advanced systems that are not limited to storage and management but include intelligent representation and retrieval of images. In this paper, we report current results of a medical warehouse we are developing for mining medical images, thus offering medical experts and researchers the possibility of storing, retrieving, analyzing and investigating biomedical images to discover novel knowledge relevant to diagnostic processes.

[1]  C. V. Kameswara Rao,et al.  Content-based tissue image mining , 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

[2]  Wei He,et al.  Image mining for investigative pathology using optimized feature extraction and data fusion , 2005, Comput. Methods Programs Biomed..

[3]  Michael R. Berthold,et al.  Mining of Cell Assay Images Using Active Semi-Supervised Clustering , 2005 .

[4]  Massimo Martinelli,et al.  MultiMedia Metadata Management: a Proposal for an Infrastructure , 2006, SWAP.

[5]  Ji Zhang,et al.  Image Mining: Issues, Frameworks and Techniques , 2001, MDM/KDD.

[6]  Petra Perner Mining knowledge in medical image databases , 2000, SPIE Defense + Commercial Sensing.

[7]  Jane Hunter,et al.  Adding Multimedia to the SemanticWeb: Building and Applying an MPEG-7 Ontology , 2005, Multimedia Content and the Semantic Web.

[8]  Samuel J. Dwyer,et al.  A personalized view of the history of PACS in the USA , 2000, Medical Imaging.