Title :
Medical Image Clustering for Intelligent Decision Support
Author :
Haiwei, Pan ; Li, Jianzhong ; Wei, Zhang
Author_Institution :
Dept. of Comput. Sci., Harbin Inst. of Technol.
Abstract :
Image mining is more than just an extension of data mining to image domain but an interdisciplinary endeavor. Very few people have systematically investigated this field. Clustering medical images for intelligent decision support 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 quantify the domain knowledge about brain image, and then incorporate this quantified measurement into the clustering algorithm. Our algorithm contains two parts: (1) clustering regions of interest (ROI) detected from brain image; (2) clustering images based on the similarity of ROI. We apply the method to cluster brain images and present results to demonstrate its usefulness and effectiveness
Keywords :
brain; computerised tomography; data mining; decision support systems; medical image processing; medical information systems; pattern clustering; brain image; data mining; domain-specific application image mining; intelligent decision support; medical image clustering; Application software; Biomedical imaging; Brain; Clustering algorithms; Data mining; Image databases; Image processing; Image storage; Relational databases; Satellites;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617184
