most citedAutomatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks

31 citations · 31 across the 1 of their papers we have counts for

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1 paper

cs.CV2018★ 31 cited

Automatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks

Sung Ho Kang, Kiwan Jeon, Hak-Jin Kim +2

Background: Three-dimensional (3D) cephalometric analysis using computerized tomography data has been rapidly adopted for dysmorphosis and anthropometry. Several different approach…