Refined tooth and pulp segmentation using U-Net in CBCT image.

CONCLUSIONS: This study proposed a two-phase deep learning solution for fast and accurately extracting any single tooth from a CBCT scan and performing accurate tooth and pulp cavity segmentation. The 3D reconstruction results can completely show the morphology of teeth and pulps, it also provides valuable data for further research and clinical practice. PMID: 33444070 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/33444070?dopt=Abstract

Source: Dentomaxillofacial Radiology - January 16, 2021 Category: Radiology Tags: Dentomaxillofac Radiol Source Type: research