ACO-optimized MobileNetV2-ShuffleNet hybrid model for automated dental caries classification
Dental infections may result in severe health conditions when not diagnosed and responded to immediately. However, it is a difficult process that can take time and expertise to diagnose oral infections based on X-ray images. In this paper, a new method of dental caries classification based on the panoramic radiographic images is proposed, which is… Read More