Journal
JOURNAL OF MAGNETICS
Volume 25, Issue 4, Pages 632-638Publisher
KOREAN MAGNETICS SOC
DOI: 10.4283/JMAG.2020.25.4.632
Keywords
artificial intelligence; computed-aided diagnosis; electromagnetic radiation image; dental radiography; ionizing radiation image
Funding
- Dongseo University, Dongseo Cluster Project Research Fund of 2020 [DSU-2020004]
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Recently, deep learning (DL) based semantic segmentation approach has been widely applied in medical image analysis. The semantic segmentation approach based DL technique was employed in the diagnosis of dental conditions with digital panoramic radiography (DRP). The purpose of this study is to investigate the accuracy of the semantic segmentation of Deeplab v3+ in the diagnosis of 5 different dental disease - apical, abrasion, caries, impaction, perio. DPR database (512x748-pixel, including 86 panoramic radiography) was used for semantic segmentation (DeepLab v3+). To validate the performance, the confusion matrix (maximum 97 %) was estimated. In addition, significant classification and semantic segmentation results were assessed. From the result of this study, the DL model could be a useful tool for the dentist to identify dental diseases as a clinical aid software.
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