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Automatic detection of teeth and dental treatment patterns on dental panoramic radiographs using deep neural networks

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Forensic Sciences Research 2022年第3期7卷 456-466页

作者： Hye-Ran Choi thomhert suprapto siadari Jo-Eun Kim Kyung-Hoe Huh Won-Jin Yi Sam-Sun Lee Min-Suk Heo Department of Oral and Maxillofacial Radiology and Dental Research Institute School of DentistrySeoul National UniversitySeoulRepublic of Korea Artificial Intelligence Research Centre Digital Dental Hub IncorporationSeoulRepublic of Korea Department of Oral and Maxillofacial Radiology Seoul National University Dental HospitalSeoulRepublic of Korea

Disaster victim identification issues are especially critical and urgent after a large-scale *** aim of this study was to suggest an automatic detection of natural teeth and dental treatment patterns based on dental panoramic radiographs(DPRs)using deep learning to promote its applicability as human identifiers.A total of 1638 DPRs,of which the chronological age ranged from 20 to 49 years old,were collected from January 2000 to November *** dataset consisted of natural teeth,prostheses,teeth with root canal treatment,and *** detection of natural teeth and dental treatment patterns including the identification of teeth number was done with a pre-trained object detection network which was a convolutional neural network modified by *** objective metrics for the average precision were 99.1%for natural teeth,80.6%for prostheses,81.2%for treated root canals,and 96.8%for implants,*** values for the average recall were 99.6%,84.3%,89.2%,and 98.1%,in the same order,*** study showed outstanding performance of convolutional neural network using dental panoramic radiographs in automatically identifying teeth number and detecting natural teeth,prostheses,treated root canals,and implants.

关键词： Forensic sciences forensic odontology individual identification disaster victim identification radiography deep learning artificial intelligence

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