Journal of Engineering and Applied Sciences
Mobile App for Dental Caries Detection by Deploying Deep Learning Model
A dataset of images of human teeth, both with and without cavities, is gathered via Kaggle. An equal number of images representing each category are selected for testing, training and validation from each of the three compartments of this dataset. The selected images undergo three preprocessing techniques: Image scaling, image scaling and image upscaling. At the same time, we use convolution neural network techniques to develop deep learning models. Then the model is trained on the preprocess...