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1. IEEE 2014 MATLAB PROJECT
BRAIN CT IMAGE SIMILARITY RETRIEVAL METHOD BASED ON UNCERTAIN LOCATION GRAPH
ABSTRACT:
A number of brain computed tomography (CT) images stored in hospitals that contain
valuable information should be shared to support computer-aided diagnosis systems. Finding the
similar brain CT images from the brain CT image database can effectively help doctors diagnose
based on the earlier cases. However, the similarity retrieval for brain CT images requires much
higher accuracy than the general images. In this paper, a new model of uncertain location graph
(ULG) is presented for brain CT image modeling and similarity retrieval. According to the
characteristics of brain CT image, we propose a novel method to model brain CT image to ULG
based on brain CT image texture. Then, a scheme for ULG similarity retrieval is introduced.
Furthermore, an effective index structure is applied to reduce the searching time. Experimental
results reveal that our method functions well on brain CT images similarity retrieval with higher
accuracy and efficiency.
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