A novel model for medical image similarity retrieval

Authors:
Pengyuan Li;Haiwei Pan;Jianzhong Li;Qilong Han;Xiaoqin Xie;Zhiqiang Zhang
Affiliations:
College of Computer Science and Technology, Harbin Engineering University, Harbin, China;College of Computer Science and Technology, Harbin Engineering University, Harbin, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;College of Computer Science and Technology, Harbin Engineering University, Harbin, China;College of Computer Science and Technology, Harbin Engineering University, Harbin, China;College of Computer Science and Technology, Harbin Engineering University, Harbin, China
Venue:
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Year:
2013

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Abstract

Finding the similar medical images from medical image database can help doctors diagnose based on the cases before. However the similarity retrieval for medical images requires much higher accuracy than the general images. In this paper, a new model of uncertain location graph is presented for medical image modeling and similarity retrieval. Then a scheme for uncertain location graph retrieval is introduced. Furthermore, an index structure is applied to reduce the searching time. Experimental results reveal that our method functions well on medical images similarity retrieval with higher accuracy and efficiency.