Scopus: Detection of the separated endodontic instrument on periapical radiographs using a deep learning-based convolutional neural network algorithm
| dc.contributor.author | Özbay Y. | |
| dc.contributor.author | Kazangirler B.Y. | |
| dc.contributor.author | Özcan C. | |
| dc.contributor.author | Pekince A. | |
| dc.date.accessioned | 2024-04-15T07:08:08Z | |
| dc.date.available | 2024-04-15T07:08:08Z | |
| dc.date.issued | 2024-04-01 | |
| dc.identifier | 10.1111/aej.12822 | |
| dc.identifier.doi | 10.1111/aej.12822 | |
| dc.identifier.issn | 13291947 | |
| dc.identifier.scopus | 2-s2.0-85179309509 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12597/33077 | |
| dc.relation.ispartof | Australian Endodontic Journal | |
| dc.relation.ispartofseries | Australian Endodontic Journal | |
| dc.rights | false | |
| dc.subject | artificial intelligence | root canal treatment | separated endodontic instrument | |
| dc.title | Detection of the separated endodontic instrument on periapical radiographs using a deep learning-based convolutional neural network algorithm | |
| dc.type | Journal | |
| dspace.entity.type | Scopus | |
| local.indexed.at | Scopus | |
| oaire.citation.issue | 1 | |
| oaire.citation.volume | 50 | |
| person.affiliation.name | Karabük Üniversitesi | |
| person.affiliation.name | Kastamonu University | |
| person.affiliation.name | Karabük Üniversitesi | |
| person.affiliation.name | Karabük Üniversitesi | |
| person.identifier.orcid | 0000-0003-2028-8120 | |
| person.identifier.scopus-author-id | 57204425170 | |
| person.identifier.scopus-author-id | 58755991900 | |
| person.identifier.scopus-author-id | 55856886900 | |
| person.identifier.scopus-author-id | 57205676153 |
