| dc.contributor.author | Kaba, Esat | |
| dc.date.accessioned | 2024-05-09T07:57:21Z | |
| dc.date.available | 2024-05-09T07:57:21Z | |
| dc.date.issued | 2024 | en_US |
| dc.identifier.citation | Kaba E. (2024). Zero-, Single-, and Few-Shot Learning in Large Language Models to Identify Incidental Findings From Radiology Reports. AJR. American journal of roentgenology, 222(3), e2431014. https://doi.org/10.2214/AJR.24.31014 | en_US |
| dc.identifier.issn | 0361-803X | |
| dc.identifier.uri | https://doi.org/10.2214/AJR.24.31014 | |
| dc.identifier.uri | https://hdl.handle.net/11436/9002 | |
| dc.description.abstract | ... | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | American Roentgen Ray Society | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Zero-, single-, and few-shot learning in large language models to identify incidental findings from radiology reports | en_US |
| dc.type | letter | en_US |
| dc.contributor.department | RTEÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü | en_US |
| dc.contributor.institutionauthor | Kaba, Esat | |
| dc.identifier.doi | 10.2214/AJR.24.31014 | en_US |
| dc.identifier.volume | 222 | en_US |
| dc.identifier.issue | 3 | en_US |
| dc.identifier.startpage | e2431014 | en_US |
| dc.relation.journal | American Journal of Roentgenology | en_US |
| dc.relation.publicationcategory | Diğer | en_US |
