Utilize ML for Abnormal Tooth Classification in Dental Radiography

Abstract

This research explores the potential of deep learning for analyzing panoramic dental X-rays. Panoramic X-rays provide a wide-angle view of all the teeth in the upper and lower jaws, making them valuable tools for dentists. By analyzing these X-rays, dentists can identify various dental features, including Implants, Fillings, Impacted teeth, and Caries.

The study proposes a new, three-stage method that combines image processing techniques and deep learning models for simultaneously recognizing these crucial features. The study compares its deep learning approach to existing, advanced algorithms. The high detection accuracy of 97% and overall recognition accuracy of 92% suggest that deep learning has great promise for more precise diagnoses and can optimize treatment planning. Overall, this research highlights the potential of deep learning to revolutionize dental X-ray analysis, leading to faster, more accurate diagnoses and improved patient care.