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Assessment of pre-trained deep learning models in the detection of metal artifacts in axial cone beam tomography slices.

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Title: Assessment of pre-trained deep learning models in the detection of metal artifacts in axial cone beam tomography slices.
Authors: Shetty S; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates., 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., AlKawas 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., Rego R; 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, United Arab Emirates., Alsaegh MA; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, United Arab Emirates., Hamdoon Z; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, United Arab Emirates.
Source: Dento maxillo facial radiology [Dentomaxillofac Radiol] 2026 May 26. Date of Electronic Publication: 2026 May 26.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 7609576 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-542X (Electronic) Linking ISSN: 0250832X NLM ISO Abbreviation: Dentomaxillofac Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Assessment of pre-trained deep learning models in the detection of metal artifacts in axial cone beam tomography slices.
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  Data: <searchLink fieldCode="AU" term="%22Shetty+S%22">Shetty S</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Talaat+W%22">Talaat W</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Al-Rawi+N%22">Al-Rawi N</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22AlKawas+S%22">AlKawas S</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Sadek+M%22">Sadek M</searchLink>; Department of Orthodontics, Pediatric and Community Dentistry, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Rego+R%22">Rego R</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Gaballah+K%22">Gaballah K</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Narasimhan+S%22">Narasimhan S</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Alsaegh+MA%22">Alsaegh MA</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Hamdoon+Z%22">Hamdoon Z</searchLink>; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, United Arab Emirates.
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  Data: <searchLink fieldCode="JN" term="%227609576%22">Dento maxillo facial radiology</searchLink> [Dentomaxillofac Radiol] 2026 May 26. <i>Date of Electronic Publication: </i>2026 May 26.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>7609576 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-542X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220250832X%22">0250832X </searchLink><i>NLM ISO Abbreviation: </i>Dentomaxillofac Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1093/dmfr/twag037
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        Text: English
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      – TitleFull: Assessment of pre-trained deep learning models in the detection of metal artifacts in axial cone beam tomography slices.
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            – D: 26
              M: 05
              Text: 2026 May 26
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              Y: 2026
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