Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-38562-9_60 | WAIM |
Keywords | Field | DocType |
medical image similarity retrieval,medical image modeling,general image,medical images similarity retrieval,similarity retrieval,uncertain location graph,novel model,similar medical image,uncertain location graph retrieval,medical image database,medical image,higher accuracy | Graph,Automatic image annotation,Information retrieval,Pattern recognition,Computer science,Image retrieval,Artificial intelligence,Image database,Visual Word | Conference |
Citations | PageRank | References |
1 | 0.35 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengyuan Li | 1 | 16 | 5.81 |
| Haiwei Pan | 2 | 52 | 21.31 |
| Jianzhong Li | 3 | 3196 | 304.46 |
| Qilong Han | 4 | 156 | 19.26 |
| Xiaoqin Xie | 5 | 18 | 10.36 |
| Zhiqiang Zhang | 6 | 114 | 25.82 |