Comparative performance of one-stage and two-stage deep learning models for instance segmentation of overhanging dental restorations on bitewing radiographs.
Hatipoğlu Ö; Başar Ö; Mağat G; Altındağ A; Pertek Hatipoğlu F · 2026 · Scientific reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Accurate detection of overhanging dental restorations on bitewing radiographs is clinically important but remains challenging due to subtle marginal discrepancies. This study aimed to develop and compare deep learning-based instance…
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Metadata source: Europe PMC · DOI 10.1038/s41598-026-57540-z