Reliability and accuracy of automatic segmentation of mandibular 3D models on linear measurements.

Marcelo Lupion PoletiThais Maria Freire FernandesMarcela Rodrigues MorettiLucas Ramos PuzinatoThiago Vinícius Sehn SlavieroIzabel Regina Fischer Rubira-Bullen

Published in: Clinical oral investigations (2021)

Since the 3D models are useful for diagnostics and surgical planning, it is necessary to determinate whether the linear measurements made on 3D models obtained by automatic segmentation are sufficiently reliable and accurate.

Keyphrases

deep learning
convolutional neural network
machine learning
neural network
high resolution
mass spectrometry