Yayın: Artificial intelligence assisted patient blood and urine droplet pattern analysis for non-invasive and accurate diagnosis of bladder cancer
| dc.contributor.author | Tınay, İlker | |
| dc.contributor.author | Soner Koc | |
| dc.contributor.author | Deniz Gülfem Öztürk | |
| dc.contributor.author | Sukriye Bilir | |
| dc.contributor.author | İbrahim Halil Özata | |
| dc.contributor.author | Rhodri Williams | |
| dc.contributor.author | John Christy | |
| dc.contributor.author | Yunus Akkoç | |
| dc.contributor.author | İlker Tınay | |
| dc.contributor.author | Çiğdem Gündüz-Demir | |
| dc.contributor.author | Devrim Gözüaçık | |
| dc.contributor.orcid | 0000-0001-6435-7883 | |
| dc.contributor.orcid | 0000-0002-0772-6600 | |
| dc.contributor.orcid | 0000-0002-2514-126X | |
| dc.contributor.orcid | 0000-0001-6749-8518 | |
| dc.contributor.orcid | 0000-0003-1506-5678 | |
| dc.contributor.orcid | 0000-0001-5379-6151 | |
| dc.contributor.orcid | 0000-0001-6768-9373 | |
| dc.contributor.orcid | 0000-0003-0724-1942 | |
| dc.contributor.orcid | 0000-0001-7739-2346 | |
| dc.date.accessioned | 2025-11-13T09:12:04Z | |
| dc.date.issued | 2024-01-30 | |
| dc.identifier.doi | https://doi.org/10.1038/s41598-024-52728-7 | |
| dc.identifier.endpage | 2488 | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.issue | 1 | |
| dc.identifier.openalex | W4391362223 | |
| dc.identifier.startpage | 2488 | |
| dc.identifier.uri | https://hdl.handle.net/11421/750 | |
| dc.identifier.uri | https://doi.org/10.1038/s41598-024-52728-7 | |
| dc.identifier.volume | 14 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Scientific Reports | |
| dc.rights | openAccess | |
| dc.subject | Bladder cancer | |
| dc.subject | Cancer | |
| dc.subject | Limiting | |
| dc.subject | Medicine | |
| dc.subject | Gold standard (test) | |
| dc.subject | Artificial intelligence | |
| dc.subject | Computer science | |
| dc.subject | Pathology | |
| dc.subject | Radiology | |
| dc.subject | Internal medicine | |
| dc.subject.sdg | 3 | |
| dc.title | Artificial intelligence assisted patient blood and urine droplet pattern analysis for non-invasive and accurate diagnosis of bladder cancer | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5053712177 |
