Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?
dc.authorid | https://orcid.org/0000-0003-1866-4721 | en_US |
dc.contributor.author | Eroğlu, Orkun | |
dc.contributor.author | Eroğlu, Yeşim | |
dc.contributor.author | Yıldırım, Muhammed | |
dc.contributor.author | Karlıdağ, Turgut | |
dc.contributor.author | Çınar, Ahmet | |
dc.contributor.author | Akyiğit, Abdulvahap | |
dc.contributor.author | Kaygusuz, İrfan | |
dc.contributor.author | Yıldırım, Hanefi | |
dc.contributor.author | Keleş, Erol | |
dc.contributor.author | Yalçın, Şinasi | |
dc.date.accessioned | 2022-03-18T06:07:01Z | |
dc.date.available | 2022-03-18T06:07:01Z | |
dc.date.issued | 2022 | en_US |
dc.department | MTÖ Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.description.abstract | Cholesteatoma is an aggressive form of chronic otitis media (COM). For this reason, it is important to distinguish between COM with and without cholesteatoma. In this study, the role of artificial intelligence modelling in differentiating COM with and without cholesteatoma on computed tomography images was evaluated. | en_US |
dc.identifier.citation | Eroğlu, O., Eroğlu, Y., Yıldırım, M., Karlıdağ, T., Çınar, A., Akyiğit, A., Yalçın, Ş. (2022). Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma. American Journal of Otolaryngology, 103395. | en_US |
dc.identifier.doi | 10.1016/j.amjoto.2022.103395 | |
dc.identifier.endpage | 6 | en_US |
dc.identifier.issue | 103395 | en_US |
dc.identifier.pmid | 35241288 | |
dc.identifier.scopus | 2-s2.0-85125479120 | en_US |
dc.identifier.startpage | 1 | en_US |
dc.identifier.uri | 10.1016/j.amjoto.2022.103395 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12899/691 | |
dc.identifier.wos | WOS:000911020100023 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.institutionauthor | Yıldırım, Muhammed | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier B.V. All | en_US |
dc.relation.ispartof | American Journal of Otolaryngology | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Cholesteatoma | en_US |
dc.subject | Chronic otitis media | en_US |
dc.subject | Computed tomography | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Deep learning | en_US |
dc.title | Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma? | en_US |
dc.type | Article | en_US |