Name
Abstract | ||
|---|---|---|
In the field of pathology, whole slide image (WSI) has become the major carrier of visual and diagnostic information. Content-based image retrieval among WSIs can aid the diagnosis of an unknown pathological image by finding its similar regions in WSIs with diagnostic information. However, the huge size and complex content of WSI pose several challenges for retrieval. In this paper, we propose an ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JBHI.2016.2611615 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Feature extraction,Pathology,Semantics,Informatics,Breast,Image retrieval | Computer vision,Latent Dirichlet allocation,Search engine,Automatic image annotation,Pattern recognition,Feature detection (computer vision),Computer science,Image texture,Image retrieval,Feature extraction,Artificial intelligence,Visual Word | Journal |
Volume | Issue | ISSN |
21 | 4 | 2168-2194 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yibing Ma | 1 | 31 | 4.41 |
| Zhiguo Jiang | 2 | 321 | 45.58 |
| Haopeng Zhang | 3 | 47 | 14.75 |
| Fengying Xie | 4 | 15 | 3.31 |
| Yushan Zheng | 5 | 34 | 6.11 |
| Huaqiang Shi | 6 | 17 | 2.30 |
| Yu Zhao | 7 | 20 | 2.74 |