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Tooth detection and numbering in panoramic radiographs using convolutional neural networks.
Dentomaxillofac Radiol
May 2019
5 Reutov Stomatological Clinic, Reutov , Russia.
Article Synopsis
- The project introduces a convolutional neural network (CNN)-based solution for automatically detecting and numbering teeth in panoramic dental radiographs, which is a crucial part of dental diagnostics.
- The system was trained on 1,352 panoramic radiographs and demonstrated high performance metrics: 99.41% sensitivity and 99.45% precision for teeth detection, and 98.00% sensitivity with 99.94% specificity for teeth numbering, closely matching expert performance.
- The findings suggest that this automated approach can effectively assist in dental radiograph analysis, potentially streamlining processes like digital dental charting and warranting further evaluation for practical use.