2D cephalograms synthesized from 3D cone-beam computed tomography (CBCT) volumes are widely used for cephalometric analysis in dental CBCT systems.

Our experiments demonstrate the efficacy of pix2pixGAN in 2D cephalogram synthesis, achieving an average peak signal-to-noise ratio (PSNR) value of 33.8 with ...

Nov 12, 2024 · Image contrast and resolution are improved for synthetic cephalograms. Direct cephalogram synthesis from cone-beam CT projections is promising.

Mar 20, 2021 · A graphical abstract of our contributions to cephalometric analysis in dental CBCT systems. multiple functions is a trend to empower dentists, ...

Our experiments demonstrate the efficacy of pix2pixGAN in 2D cephalogram synthesis, achieving an average peak signal-to-noise ratio (PSNR) value of 33.8 with ...

May 27, 2021 · Deep learning (DL) has been increasingly employed for automated landmark detection, e.g., for cephalometric purposes.

Mar 19, 2021 · Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Due to the lack of a standardized 3D cephalometric analysis methodology ...

This work proposes an end-to-end deep learning system for cephalometric landmark detection in dental X-ray images, using convolutional neural networks (CNN) ...

Cephalogram synthesis and landmark detection in dental cone-beam CT systems. Medical Image Analysis. 2021-05 | Journal article. DOI: 10.1016/j.media ...

Nov 29, 2022 · This study evaluated the applicability and consistency of lateral cephalograms generated by CBCT using an artificial intelligence analysis program.