Medical image clustering with domain knowledge constraint

Authors:
Pan Haiwei;Jianzhong Li;Zhang Wei
Affiliations:
Dept. of Computer Science, Harbin Institute of Technology, Harbin, P. R. China;Dept. of Computer Science, Harbin Institute of Technology, Harbin, P. R. China;Dept. of Computer Science, Harbin Institute of Technology, Harbin, P. R. China
Venue:
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Year:
2005

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Abstract

Clustering 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 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.