Automated Classification Radiograph of Periodontal Bone Loss Using Deep Learning

The findings indicate that ResNet-50 provides better classification accuracy and reliability than InceptionV3 and InceptionV4 in detecting periodontal bone loss from OPG images. Expanding the dataset and exploring advanced data augmentation and hyperparameter tuning could further improve model robustness. This study highlights the potential of deep learning-based OPG classification systems to assist dental professionals in faster and more accurate detection of periodontal diseases.