Dental implant recognition and classification with Convolutional Neural Network

The dental implants market was worth over USD 7,222 million in 2020, and it's predicted to grow to USD 11,801 million by 2026, with a compound annual growth rate of 8.6 % over the forecast period of 2021–2026. This demonstrates that the number of dental implants will dramatically increase by 2026. These contributions will create a problem for dentists all over the globe in identifying the type of implant and getting the manufacturer's company contacts. The authors compared three CNN models: VGG16, Xception, and ResNet50V2, and applied transfer learning to train the models on them. The authors also proposed system architecture to simplify the identification process. The presented system identified four types of implants with acceptable accuracies.