Jiangsu Provincial Key Laboratory of Network and Information Security

Automatic segmentation of craniomaxillofacial complex and mandible in dental CBCT images using a TransUNet-based deep learning model

Accurate segmentation of craniomaxillofacial structures from cone beam computed tomography (CBCT) is essential for digital dentistry, but conventional manual and semi-automated methods are time-consuming and operator-dependent. This study aimed to develop and validate a TransUNet...