Disturbance-Region Removal on Landmark-less Registration of Craniofacial Images Acquired by CBCT and 3D Photography. Shu-Yen Wan, Lun-Jou Lo, Che-Yao Chang.
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Training AI, Wearing Tech,
and Imaging Health.
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This study applied the transfer learning model with a convolutional neural network based on 3-dimensional (3D) contour line features to evaluate the facial symmetry before and after OGS. A total of 158 patients were recruited in a retrospective cohort study for the assessment and comparison of facial symmetry before and after OGS from January 2018 to March 2020. Three-dimensional facial photographs were captured by the 3dMD face system in a natural head position, with eyes looking forward, relaxed facial muscles, and habitual dental occlusion before and at least 6 months after surgery.
This excerpt will show up on the home page Blog/News feed
This excerpt will show up on the home page Blog/News feed
This excerpt will show up on the home page Blog/News feed
This excerpt will show up on the home page Blog/News feed
This excerpt will show up on the home page Blog/News feed
This excerpt will show up on the home page Blog/News feed
This excerpt will show up on the home page Blog/News feed
This excerpt will show up on the home page Blog/News feed