Ming‐Huwi Horng

Automated alveolar bone and teeth 3D segmentation on the cone-beam computed tomographic images using the convolutional neural network

Abstract Background Cone-beam computed tomography (CBCT) is widely used in dental diagnosis and implant planning. The accurate segmentation of teeth and alveolar bone from CBCT images is essential for precise diagnosis and treatment planning. In this study, we propose two distinc...