TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion

• Published in: Computers in biology and medicine Vol. 166; p. 107519
• Main Authors: Liu, Mengting, Li, Xiaojie, Liu, Jie, Liu, Weifan, Yu, Zekuan
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.11.2023; Elsevier Limited
• Subjects: Algorithms; Artificial neural networks; CAD; Channel and spatial attention; Computer aided design; Datasets; Deep learning; Dental materials; Dental prosthetics; Dentistry; Feature extraction; Humans; Imaging, Three-Dimensional - methods; Internal Medicine; Medical diagnosis; Modules; Neural Networks, Computer; Oral cavity; Orthodontics; Other; Point cloud completion; Symmetry; Teaching methods; Teeth; Teeth point cloud completion; Three dimensional models; Tooth - diagnostic imaging; Upsample transformer; Upsample transformer; Channel and spatial attention; Teeth point cloud completion; Point cloud completion

With the increasing popularity of the use of 3D scanning equipment in capturing oral cavity in dental health applications, the quality of 3D dental models has become vital in oral prosthodontics and orthodontics. However, the point cloud data obtained can often be sparse and thus missing information...