Teeth Segmentation

Teeth segmentation, the automated identification and delineation of individual teeth in dental images (2D X-rays and 3D scans), is crucial for improving diagnostic accuracy and treatment planning in dentistry. Current research heavily utilizes deep learning, employing architectures like U-Net, transformers (including those specifically designed for 3D data), and graph convolutional networks to achieve precise segmentation, often incorporating attention mechanisms and geometry-guided losses to enhance boundary detection. These advancements are leading to more efficient and accurate automated analysis of dental images, reducing the need for manual annotation and potentially improving the speed and consistency of dental diagnoses and procedures.