MRI segmentation of tooth tissue in age prediction of sub-adults - a new method for combining data from the 1st, 2nd, and 3rd molars.

Mai Britt Bjørk Øyvind Bleka Sigrid Ingeborg Kvaal Tomas Sakinis Frode Alexander Tuvnes Heidi Beate Eggesbø Peter Mæhre Lauritzen

Published in: International journal of legal medicine (2023)

We have established a model for combining tissue volume measurements from the 1st, 2nd and 3rd molars for age prediction in sub-adults. The prediction performance was mostly driven by the 3rd molars. All combinations involving the 3rd molar performed well.

Keyphrases

magnetic resonance imaging
deep learning
contrast enhanced
big data
computed tomography
machine learning