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Abstract
The field of oral care has witnessed a significant transformation with the advent of advanced technologies. We introduces DentalTrack, a revolutionary dental monitoring system that employs an ensemble deep learning approach for end-to-end dental diagnostics. The system encompasses multiple algorithms designed to enhance dental diagnosis and improve patient care. These algorithms include image type detection for distinguishing between X-ray dental and toothbrush camera images, blur motion correction utilizing the generative model pix2pix, disease classification based on convolutional neural networks (CNN), caries detection and counting using YoLo v7 on both X-ray and toothbrush camera images, and full tooth segmentation for accurate area estimation. The amalgamation of these algorithms within DentalTrack enables comprehensive and efficient dental diagnostics, empowering dental professionals to provide personalized and precise oral care.