Anika Kofod Petersen , Scheila Mânica , Andrew Forgie , Richard Boyle , Hemlata Pandey , Palle Villesen , Line Staun Larsen
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引用次数: 0
Abstract
Accurate dental matching is essential for forensic identification, particularly in challenging cases involving dentitions with no dental work, incomplete dentitions or damaged remains. This study evaluates similarity scoring schemes for 3D dental data using three datasets: full jaws versus single teeth (DATA-A), and two collections of heat-traumatized teeth (DATA-B and DATA-C). The similarity scores are assessed for their ability to quantify tooth curvature (dis)similarity and distinguish matching from mismatching dental comparisons. The results demonstrate the effectiveness of the methods in handling dental fragmentation (ROC-AUCDATA-A = 0.899 (95 % CI 0.840–0.948) and heat trauma (ROC-AUC DATA-B = 0.996 (95 % CI 0.98–1.00); ROC-AUC DATA-C = 0.993 (95 % CI 0.980–1.00), and that they offer a robust tool for forensic applications.
期刊介绍:
Forensic Science International is the flagship journal in the prestigious Forensic Science International family, publishing the most innovative, cutting-edge, and influential contributions across the forensic sciences. Fields include: forensic pathology and histochemistry, chemistry, biochemistry and toxicology, biology, serology, odontology, psychiatry, anthropology, digital forensics, the physical sciences, firearms, and document examination, as well as investigations of value to public health in its broadest sense, and the important marginal area where science and medicine interact with the law.
The journal publishes:
Case Reports
Commentaries
Letters to the Editor
Original Research Papers (Regular Papers)
Rapid Communications
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Technical Notes.