YOLO V5 Deep Learning Model for Dental Problem Detection

Dental problems are a broad category of conditions that affect the teeth, gums, and other structures in the mouth. YOLOv5 (You Only Look Once, version 5) is a state-of-the-art object detection model, which can detect objects in an image in a single pass. This makes YOLOv5 very fast and efficient, making it ideal for real-time applications. This paper proposes to use YOLOv5 deep learning model to detect dental problems from panoramic X-Rays or Color images uploaded by a normal user or by dentist. Normal users can use it for initial consultation or for getting a second opinion. Dentists can use it for explaining the problem visually to a patient or to confirm his findings. The results of the experiment with around 8000 images has proved the use of YOLO v5 model predicts the problem to 90% accuracy. The paper also proposes to use YIQ model instead of regular RGB model which is better for medical imaging applications.