Accuracy of deep learning models in the detection of accessory ostium in coronal cone beam computed tomographic images.
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| Title: | Accuracy of deep learning models in the detection of accessory ostium in coronal cone beam computed tomographic images. |
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| Authors: | Shetty S; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates. shishirshettyomr@gmail.com., Talaat W; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates., Al-Rawi N; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates., Al Kawas S; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates., Sadek M; Department of Orthodontics, Pediatric and Community Dentistry, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates.; Faculty of Dentistry, Ain Shams University, Cairo, Egypt., Elayyan M; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates., Gaballah K; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates., Narasimhan S; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates., Ozsahin I; Operational Research Center in Healthcare, Near East University, TRNC, Nicosia, Turkey., Ozsahin DU; Department of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates. dozsahin@sharjah.ac.ae., David LR; Department of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates. ldavid@sharjah.ac.ae. |
| Source: | Scientific reports [Sci Rep] 2025 Mar 10; Vol. 15 (1), pp. 8324. Date of Electronic Publication: 2025 Mar 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-93250-8 |
