2021
DOI: 10.48550/arxiv.2109.12115
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Use of the Deep Learning Approach to Measure Alveolar Bone Level

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(7 citation statements)
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“…Various medical fields have benefited from deep learning models able to identify anatomical structures and detect pathological findings in radiographic images [1][2][3]23]. Deep learning-based computeraided diagnosis (CAD) for oral imaging has recently undergone significant development, but its implementation has been limited [3,23,24]. Some studies have attempted to measure the alveolar bone level by analyzing panoramic radiographs with deep learning models [3,[5][6][7].…”
Section: Discussionmentioning
confidence: 99%
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“…Various medical fields have benefited from deep learning models able to identify anatomical structures and detect pathological findings in radiographic images [1][2][3]23]. Deep learning-based computeraided diagnosis (CAD) for oral imaging has recently undergone significant development, but its implementation has been limited [3,23,24]. Some studies have attempted to measure the alveolar bone level by analyzing panoramic radiographs with deep learning models [3,[5][6][7].…”
Section: Discussionmentioning
confidence: 99%
“…Deep learning-based computeraided diagnosis (CAD) for oral imaging has recently undergone significant development, but its implementation has been limited [3,23,24]. Some studies have attempted to measure the alveolar bone level by analyzing panoramic radiographs with deep learning models [3,[5][6][7]. Panoramic images provide a quick overview of the dentition, but they suffer from considerable distortion and a lack of detail, making accurate and precise diagnosis of periodontitis and other oral diseases difficult [3,25,26].…”
Section: Discussionmentioning
confidence: 99%
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