Article
The Impact of AI on Metal Artifacts in CBCT Oral Cavity Imaging
2024-05-29
Abstract excerpt
<h4>Objective: </h4> This study aimed to assess the impact of artificial intelligence (AI)-driven noise reduction algorithms on metal artifacts and image quality parameters in cone-beam computed tomography (CBCT) images of the oral cavity. <h4>Materials and Methods:</h4> This retrospective study included 70 patients, 61 of whom were analyzed after excluding those with severe motion artifacts. CBCT scans, performed...
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Identifiers and source
- Literature Corpus work
- a890fc1f-52f0-5a62-8357-41bdc7c2673e
- DOI
- 10.20944/preprints202405.1971.v1
