“Advances in Deep Learning for Dental Disease Classification”

Abstract

“Dental disease classification from X-ray images is critical for accurate diagnosis and timely treatment. Traditional methods rely on manual inspection, which is often time-consuming and error-prone. This study introduces a deep learning-based approach using Convolutional Neural Networks (CNNs) for automated dental disease classification. The model leverages a dataset of dental X-rays, which are preprocessed and augmented to improve performance. The CNN model extracts relevant features from the X-ray images, which are then classified into various dental conditions. The model's performance is evaluated using metrics such as precision, recall, and accuracy. Results demonstrate that the CNN model offers significant improvement over traditional methods, providing a reliable tool for dental diagnostics.”