The objective of this paper is to define normal values of a novel 3D cephalometric analysis and to define the links through an artificial neural network (ANN).

3D Cephalometric Normality Range: Auto Contractive Maps (ACM) Analysis in Selected Caucasian Skeletal Class I Age Groups

Baselli, Giuseppe;Baldini, Benedetta;
2022-01-01

Abstract

The objective of this paper is to define normal values of a novel 3D cephalometric analysis and to define the links through an artificial neural network (ANN).
2022
anatomy
cephalometry
digital dentistry
head and skull
neural networks
orthodontics
File in questo prodotto:
File Dimensione Formato  
Farronato Tartaglia - 3D cephalometric normality - Bioengineering 2022.pdf

accesso aperto

Dimensione 1.84 MB
Formato Adobe PDF
1.84 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1224895
Citazioni
  • ???jsp.display-item.citation.pmc??? 13
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 15
social impact