Journal of Periodontal & Implant Science· 2018Q1
Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm
- 499citations
- Q1SCImago
- 2018year
Short summary
A deep convolutional neural network (CNN) algorithm achieved 81.0% diagnostic accuracy for premolars and 76.7% for molars in identifying periodontally compromised teeth (PCT) from periapical radiographs.
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Oral SurgeryDentistry