ConceptioArchiveS-Space: Seoul National University
S-Space: Seoul National Universitymetadata only

Automated dental landmark detection and model-analysis measurements on 3D digital dental models using a projection-based two-stage cascade convolutional neural network

Bae, Myungsoo et al.
S-Space: Seoul National University · Papers
Open Source ↗
accuracy
accuracy, 3d digital dental models, arch length discrepancy (ald), convolutional neural network (cnn), dental landmark detection, digital dentistry, model analysis
This document is indexed with metadata only — full text is not available in the archive for this record. Open the official source ↗
Record · ID 1002081
Retrieved via Conceptio — every document is proof-bundled with source, license, and retrieval metadata.