Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis ; volume:128 ; number:5 ; day:24 ; month:4 ; year:2023 ; pages:544-555 ; date:5.2023
La Radiologia medica ; 128, Heft 5 (24.4.2023), 544-555, 5.2023
- Urheber
-
Serafin, Marco
Baldini, Benedetta
Cabitza, Federico
Carrafiello, Gianpaolo
Baselli, Giuseppe
Del Fabbro, Massimo
Sforza, Chiarella
Caprioglio, Alberto
Tartaglia, Gianluca M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11547-023-01629-2
- URN
-
urn:nbn:de:101:1-2023090808143306050814
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Serafin, Marco
- Baldini, Benedetta
- Cabitza, Federico
- Carrafiello, Gianpaolo
- Baselli, Giuseppe
- Del Fabbro, Massimo
- Sforza, Chiarella
- Caprioglio, Alberto
- Tartaglia, Gianluca M.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Automated detection of cephalometric landmarks using deep neural patchworks
Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence
The application and accuracy of feature matching on automated cephalometric superimposition
Does the FARNet neural network algorithm accurately identify Posteroanterior cephalometric landmarks?
Automated Detection of Cat Facial Landmarks
Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm
The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images
Development and validation of predictive models for skeletal malocclusion classification using airway and cephalometric landmarks
Automated Cephalometric Landmark Localization using a Coupled Shape Model
Landmarks
Automatic identification of posteroanterior cephalometric landmarks using a novel deep learning algorithm: a comparative study with human experts
3D cephalometric analysis using Magnetic Resonance Imaging: validation of accuracy and reproducibility
Automated detection of cephalometric landmarks using deep neural patchworks
Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence
The application and accuracy of feature matching on automated cephalometric superimposition
Does the FARNet neural network algorithm accurately identify Posteroanterior cephalometric landmarks?
Automated Detection of Cat Facial Landmarks
Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm
The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images
Development and validation of predictive models for skeletal malocclusion classification using airway and cephalometric landmarks
Automated Cephalometric Landmark Localization using a Coupled Shape Model
Landmarks
Automatic identification of posteroanterior cephalometric landmarks using a novel deep learning algorithm: a comparative study with human experts
3D cephalometric analysis using Magnetic Resonance Imaging: validation of accuracy and reproducibility
Automated detection of cephalometric landmarks using deep neural patchworks
Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence
The application and accuracy of feature matching on automated cephalometric superimposition
Does the FARNet neural network algorithm accurately identify Posteroanterior cephalometric landmarks?
Automated Detection of Cat Facial Landmarks
Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm
The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images
Development and validation of predictive models for skeletal malocclusion classification using airway and cephalometric landmarks
Automated Cephalometric Landmark Localization using a Coupled Shape Model
Landmarks
Automatic identification of posteroanterior cephalometric landmarks using a novel deep learning algorithm: a comparative study with human experts