most citedTwo-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation

63 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

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…