63 citations
- Chongqing Medical UniversityCN2 papers
- Chongqing University of Posts and TelecommunicationsCN2 papers
- Macau University of Science and TechnologyMO1 paper
- ShanghaiTech UniversityCN1 paper
- Tokyo Institute of TechnologyJP1 paper
- United Imaging Healthcare (China)CN1 paper
- University of Hong KongHK1 paper
- Xi'an Jiaotong UniversityCN1 paper
2 papers
cs.CV2024★ 2 cited
Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation
Pengyu Dai, Yafei Ou, Yuqiao Yang +2
Accurate tooth identification and segmentation in Cone Beam Computed Tomography (CBCT) dental images can significantly enhance the efficiency and precision of manual diagnoses perf…
eess.IV2022★ 63 cited
Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation
Yue Zhao, Lingming Zhang, Yang Liu +6
Precise segmentation of teeth from intra-oral scanner images is an essential task in computer-aided orthodontic surgical planning. The state-of-the-art deep learning-based methods…