Name
Title | ||
|---|---|---|
Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction. |
Abstract | ||
|---|---|---|
•Reference resolution is essential for understanding radiology report free text.•Largest size and tumor count prediction improves with reference resolution.•Different applications have different tolerances for reference resolution errors. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jbi.2016.10.005 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Natural language processing,Information extraction,Reference resolution,Radiology report,Cancer stages,Liver cancer | Data mining,Coreference,Computer science,Information extraction,Radiology report | Journal |
Volume | Issue | ISSN |
64 | C | 1532-0464 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-Wai Yim | 1 | 2 | 0.38 |
| sharon kwan | 2 | 3 | 1.08 |
| Meliha Yetisgen-Yildiz | 3 | 328 | 34.25 |