Classification of Digital Dental X-ray Images Using Machine Learning

Dental diseases like dental anomalies, periapical and dental caries is increasing day by day in children and adults. Artificial intelligence and neural network with its application in medical imaging is influencing the healthcare industry. X -ray imaging is the commonly employed technique to diagnose diseases of the teeth. Segmentation and classification of differing dental anomalies using neural network is proving to be a boon to the dental field. Application of neural algorithms aids in obtaining images with better detection accuracy. Automated detection reduces the workload of a dentist with classification being accurate. A better penetration of machine learning into these processes highlights its advantages to classify dental X ray images. Different machine learning techniques are deployed to identify and classify the dental abnormalities.