Machine Learning for Dental Image Analysis
This work addresses dental image analysis for medical professionals, but it is incremental as it uses existing methods on new data.
The study applied AI techniques to classify panoramic dental radiographs, achieving results with unspecified performance metrics.
In order to study the application of artificial intelligence (AI) to dental imaging, we applied AI technology to classify a set of panoramic radiographs using (a) a convolutional neural network (CNN) which is a form of an artificial neural network (ANN), (b) representative image cognition algorithms that implement scale-invariant feature transform (SIFT), and (c) histogram of oriented gradients (HOG).