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Construction of a new automatic grading system for jaw bone mineral density level based on deep learning using cone beam computed tomography

2022-04-04

Abstract excerpt

<h4>Objective: </h4> To develop and verify an automatic classification method using artificial intelligence deep learning to determine the bone mineral density level of the implant site in oral implant surgery from radiographic data obtained from cone beam computed tomography (CBCT) images. <h4>Materials: </h4> and Methods Seventy patients with mandibular dentition defects were scanned using CBCT. These Digital Im...

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Literature Corpus work
fc4febae-9a28-50b3-aaaa-0e299aaba31b
DOI
10.21203/rs.3.rs-1499358/v1
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Construction of a new automatic grading system for jaw bone mineral density level based on deep learning using cone beam computed tomographyDOI 10.21203/rs.3.rs-1499358/v1
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