Accurate age classification using manual method and deep convolutional neural network based on orthopantomogram images
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Title
Accurate age classification using manual method and deep convolutional neural network based on orthopantomogram images
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF LEGAL MEDICINE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-03-04
DOI
10.1007/s00414-021-02542-x
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Note: Only part of the references are listed.- Comparison of different machine learning approaches to predict dental age using Demirjian’s staging approach
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- (2020) Ana Molina et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Evaluation of secondary dentin formation for forensic age assessment by means of semi-automatic segmented ultrahigh field 9.4 T UTE MRI datasets
- (2020) Maximilian Timme et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs
- (2019) Chi-Tung Cheng et al. EUROPEAN RADIOLOGY
- Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
- (2019) Yu Li et al. METHODS
- EEG‐based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features
- (2019) Stefan Jonas et al. HUMAN BRAIN MAPPING
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- (2019) Thomas Ekert et al. JOURNAL OF ENDODONTICS
- Deep-learning-based imaging-classification identified cingulate island sign in dementia with Lewy bodies
- (2019) Tomomichi Iizuka et al. Scientific Reports
- Effect of Lower Third Molar Segmentations on Automated Tooth Development Staging using a Convolutional Neural Network
- (2019) Rizky Merdietio Boedi et al. JOURNAL OF FORENSIC SCIENCES
- Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs
- (2019) Jeong-Hee Lee et al. Oral Surgery Oral Medicine Oral Pathology Oral Radiology
- Squeeze-and-Excitation Networks
- (2019) Jie Hu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction
- (2019) Tao He et al. IEEE Journal of Biomedical and Health Informatics
- Assessment of second (I 2M ) and third (I 3M ) molar indices for establishing 14 and 16 legal ages and validation of the Cameriere’s I 3M cut-off for 18 years old in Chilean population
- (2018) Roberto Cameriere et al. FORENSIC SCIENCE INTERNATIONAL
- Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm
- (2018) Jae-Hong Lee et al. Journal of Periodontal and Implant Science
- Automatic Age Estimation and Majority Age Classification from Multi-Factorial MRI Data
- (2018) Darko Stern et al. IEEE Journal of Biomedical and Health Informatics
- Accuracy of the estimation of dental age in comparison with chronological age in a Spanish sample of 2641 living subjects using the Demirjian and Nolla methods
- (2017) María Melo et al. FORENSIC SCIENCE INTERNATIONAL
- Studies on the radiographic visibility of the periodontal ligament in lower third molars: can the Olze method be used in the Chinese population?
- (2017) Yu-cheng Guo et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Accuracy of a cut-off value based on the third molar index: Validation in an Australian population
- (2016) Daniel Franklin et al. FORENSIC SCIENCE INTERNATIONAL
- Radiographic evaluation of Gustafson’s criteria for the purpose of forensic age diagnostics
- (2012) Andreas Olze et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Age Estimation and the Developing Third Molar Tooth: An Analysis of an Australian Population Using Computed Tomography
- (2011) Richard B. Bassed et al. JOURNAL OF FORENSIC SCIENCES
- Accuracy of Cameriere, Haavikko, and Willems radiographic methods on age estimation on Bosnian–Herzegovian children age groups 6–13
- (2010) Ivan Galić et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Assessment of the radiographic visibility of the periodontal ligament in the lower third molars for the purpose of forensic age estimation in living individuals
- (2010) Andreas Olze et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Evaluation of the radiographic visibility of the root pulp in the lower third molars for the purpose of forensic age estimation in living individuals
- (2010) Andreas Olze et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Reliability of Third Molar Development for Age Estimation in a Texas Hispanic Population: A Comparison Study
- (2009) Kathleen A. Kasper et al. JOURNAL OF FORENSIC SCIENCES
- The comparison between measurement of open apices of third molars and Demirjian stages to test chronological age of over 18 year olds in living subjects
- (2008) R. Cameriere et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Studies of the chronological course of wisdom tooth eruption in a German population
- (2008) A. Olze et al. Journal of Forensic and Legal Medicine
- The measurement of open apices of teeth to test chronological age of over 14-year olds in living subjects
- (2007) Roberto Cameriere et al. FORENSIC SCIENCE INTERNATIONAL
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