Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks.

Conclusion: The faster R-CNN trained on a limited amount of labeled imaging data performed satisfactorily in detecting periodontally compromised teeth. The application of a faster R-CNN to assist in the detection of periodontally compromised teeth may reduce diagnostic effort by saving assessment time and allowing automated screening documentation. PMID: 32601592 [PubMed]

https://www.ncbi.nlm.nih.gov/pubmed/32601592?dopt=Abstract

Source: Imaging Science in Dentistry - July 2, 2020 Category: Dentistry Tags: Imaging Sci Dent Source Type: research