Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis.

Marco Serafin Benedetta Baldini Federico Cabitza Gianpaolo Carrafiello Giuseppe Baselli Massimo Del Fabbro Chiarella Sforza Alberto Caprioglio Gianluca Martino Tartaglia

Published in: La Radiologia medica (2023)

Deep learning algorithms showed an excellent accuracy for automated 3D cephalometric landmarking. In the last two years promising algorithms have been developed and improvements in landmarks annotation accuracy have been done.

Keyphrases

deep learning
machine learning
artificial intelligence
convolutional neural network
single cell
high throughput