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dc.contributor.authorEdvardsen, Isak Paasche
dc.contributor.authorTeterina, Anna
dc.contributor.authorJohansen, Thomas Haugland
dc.contributor.authorMyhre, Jonas Nordhaug
dc.contributor.authorGodtliebsen, Fred
dc.contributor.authorBolstad, Napat Limchaichana
dc.date.accessioned2023-01-12T10:11:40Z
dc.date.available2023-01-12T10:11:40Z
dc.date.issued2022-11-22
dc.description.abstractObjective To apply deep learning to a data set of dental panoramic radiographs to detect the mental foramen for automatic assessment of the mandibular cortical width.<p> <p>Methods Data from the seventh survey of the Tromsø Study (Tromsø7) were used. The data set contained 5197 randomly chosen dental panoramic radiographs. Four pretrained object detectors were tested. We randomly chose 80% of the data for training and 20% for testing. Models were trained using GeForce RTX 2080 Ti with 11 GB GPU memory (NVIDIA Corporation, Santa Clara, CA, USA). Python programming language version 3.7 was used for analysis. <p>Results The EfficientDet-D0 model showed the highest average precision of 0.30. When the threshold to regard a prediction as correct (intersection over union) was set to 0.5, the average precision was 0.79. The RetinaNet model achieved the lowest average precision of 0.23, and the precision was 0.64 when the intersection over union was set to 0.5. The procedure to estimate mandibular cortical width showed acceptable results. Of 100 random images, the algorithm produced an output 93 times, 20 of which were not visually satisfactory. <p>Conclusions EfficientDet-D0 effectively detected the mental foramen. Methods for estimating bone quality are important in radiology and require further development.en_US
dc.identifier.citationEdvardsen, Teterina, Johansen, Myhre, Godtliebsen, Bolstad. Automatic detection of the mental foramen for estimating mandibular cortical width in dental panoramic radiographs: the seventh survey of the Tromsø Study (Tromsø7) in 2015-2016. Journal of International Medical Research. 2022;50(11)en_US
dc.identifier.cristinIDFRIDAID 2089683
dc.identifier.doi10.1177/03000605221135147
dc.identifier.issn0300-0605
dc.identifier.issn1473-2300
dc.identifier.urihttps://hdl.handle.net/10037/28182
dc.language.isoengen_US
dc.publisherSAGEen_US
dc.relation.ispartofTeterina, A. (2024). Panoramic radiograph analyses for early detection of osteoporosis in the population of Northern Norway. (Doctoral thesis). <a href=https://hdl.handle.net/10037/32402>https://hdl.handle.net/10037/32402</a>.
dc.relation.journalJournal of International Medical Research
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0en_US
dc.rightsAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.titleAutomatic detection of the mental foramen for estimating mandibular cortical width in dental panoramic radiographs: the seventh survey of the Tromsø Study (Tromsø7) in 2015-2016en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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