Morphological decoupling-based skeletal classification for clinical assessment of malocclusion
TeethGNN is developed, a novel graph-based framework designed to combine CBCT image features with morphological information for accurate and efficient malocclusion grading, providing an accurate and reliable solution for vision-based clinical measurement and diagnosis.
Zhichun Jin, Zhi-Cheng He, Hao-Cai Xu et al.
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