Name
Abstract | ||
|---|---|---|
In this study, we extracted information from 6,376 french CT scan semi-structured text reports evaluating the cancer treatment response using the RECIST methodology. We evaluated the performance against manual annotation of 100 reports and measured the evolution of the presence of information over time. The results show high performances of the extraction as well as trends. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.3233/SHTI220424 | Medical Informatics Europe (MIE) |
Keywords | DocType | Volume |
cancer,imaging,information retrieval,natural language processing | Conference | 294 |
ISSN | Citations | PageRank |
1879-8365 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valentin Pohyer | 1 | 0 | 0.34 |
| David Baudoin | 2 | 0 | 0.34 |
| Laure Fournier | 3 | 0 | 0.34 |
| Bastien Rance | 4 | 0 | 0.34 |