A Novel Model for Medical Image Similarity Retrieval

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.