Name
Abstract | ||
|---|---|---|
Oregon Health & Science University participated in both the medical retrieval and medical annotation tasks of ImageCLEF 2006. Our efforts in the retrieval task focused on manual modification of query statements and fusion of results from textual and visual retrieval techniques. Our results showed that manual modification of queries does improve retrieval performance, while data fusion of textual and visual techniques improves precision but lowers recall. However, since image retrieval may be a precision-oriented task, these data fusion techniques could be of value for many users. In the annotation task, we assessed a variety of learning techniques and obtained classification accuracy of up to 74% with test data. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-3-540-74999-8_81 | CLEF (Working Notes) |
Keywords | Field | DocType |
retrieval task,data fusion,retrieval performance,medical image retrieval,visual retrieval technique,data fusion technique,image retrieval,medical annotation task,automated annotation,annotation task,manual modification,medical retrieval,neural network | Automatic image annotation,Annotation,Human–computer information retrieval,Query expansion,Information retrieval,Computer science,Image retrieval,Sensor fusion,Artificial intelligence,Natural language processing,Test data,Visual Word | Conference |
Volume | ISSN | ISBN |
4730 | 0302-9743 | 3-540-74998-5 |
Citations | PageRank | References |
15 | 1.65 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| William Hersh | 1 | 2491 | 307.00 |
| Jayashree Kalpathy-Cramer | 2 | 843 | 61.53 |
| Jeffery Jensen | 3 | 15 | 1.65 |