2022
DOI: 10.1016/j.compbiomed.2022.105547
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An enhanced tooth segmentation and numbering according to FDI notation in bitewing radiographs

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Cited by 20 publications
(14 citation statements)
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“…The precision value calculates how many of the positively predicted classes are positive. In contrast, the recall value computes how many are correctly predicted for the classes that need to be positively predicted [16]. In segmentation tasks, the area under the precision and recall results graph gives that average precision (AP) value of the class task.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…The precision value calculates how many of the positively predicted classes are positive. In contrast, the recall value computes how many are correctly predicted for the classes that need to be positively predicted [16]. In segmentation tasks, the area under the precision and recall results graph gives that average precision (AP) value of the class task.…”
Section: Resultsmentioning
confidence: 99%
“…In this study, if it is greater than or equal to 50% by detection according to the specified thresholds, it means that the detected box is selected as a true positive. If not, it is considered to be a false positive [16]. The IoU and mIoU values are calculated accordingly.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Yasa et al [ 33 ] developed a faster R-CNN model for identifying and numbering teeth in bitewing images, but the exact boundary of the teeth could not be recognized. Yaren et al [ 34 ] developed a Mask R-CNN to assign tooth numbers only in bitewing images but did not show their integrity with other dental diagnosis models such as caries or restorations.…”
Section: Discussionmentioning
confidence: 99%
“…However, all of them were only applicable to panoramic radiographs [ 22 – 30 ]. Furthermore, some studies have been conducted on detecting teeth and assigning tooth numbers in periapical radiographs [ 6 , 31 , 32 ] and bitewing radiographs [ 33 , 34 ].…”
Section: Introductionmentioning
confidence: 99%