Cargando…

Deep convolutional neural network-based skeletal classification of cephalometric image compared with automated-tracing software

This study aimed to investigate deep convolutional neural network- (DCNN-) based artificial intelligence (AI) model using cephalometric images for the classification of sagittal skeletal relationships and compare the performance of the newly developed DCNN-based AI model with that of the automated-t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Ho-Jin, Kim, Kyoung Dong, Kim, Do-Hoon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270345/ https://www.ncbi.nlm.nih.gov/pubmed/35804075 http://dx.doi.org/10.1038/s41598-022-15856-6

Ejemplares similares

Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks
por: Lee, Jeong-Hoon, et al.
Publicado: (2020)

Comparing intra-observer variation and external variations of a fully automated cephalometric analysis with a cascade convolutional neural net
por: Kim, In-Hwan, et al.
Publicado: (2021)

Sex determination from lateral cephalometric radiographs using an automated deep learning convolutional neural network
por: Khazaei, Maryam, et al.
Publicado: (2022)

Comparing a Fully Automated Cephalometric Tracing Method to a Manual Tracing Method for Orthodontic Diagnosis
por: Tsolakis, Ioannis A., et al.
Publicado: (2022)

Deep-Learning-Based Detection of Cranio-Spinal Differences between Skeletal Classification Using Cephalometric Radiography
por: Jeong, Seung Hyun, et al.
Publicado: (2021)

Comparison between cephalometric measurements using digital manual and web-based artificial intelligence cephalometric tracing software
por: ÇOBAN, Gökhan, et al.
Publicado: (2022)

Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network
por: Jeon, Sangmin, et al.
Publicado: (2021)

Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks
por: Almutairi, Abdullah, et al.
Publicado: (2022)

Automated abnormality classification of chest radiographs using deep convolutional neural networks
por: Tang, Yu-Xing, et al.
Publicado: (2020)

Influence of growth structures and fixed appliances on automated cephalometric landmark recognition with a customized convolutional neural network
por: Popova, Teodora, et al.
Publicado: (2023)

A hard tissue cephalometric comparative study between hand tracing and computerized tracing
por: Prabhakar, Ramachandra, et al.
Publicado: (2014)

Automatic Cephalometric Landmark Identification System Based on the Multi-Stage Convolutional Neural Networks with CBCT Combination Images
por: Kim, Min-Jung, et al.
Publicado: (2021)

Automated rotator cuff tear classification using 3D convolutional neural network
por: Shim, Eungjune, et al.
Publicado: (2020)

Evaluation of a multi-stage convolutional neural network-based fully automated landmark identification system using cone-beam computed tomography-synthesized posteroanterior cephalometric images
por: Kim, Min-Jung, et al.
Publicado: (2021)

Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classification
por: Ho, Namgyu, et al.
Publicado: (2021)

Inter-floor noise classification using convolutional neural network
por: Shin, Hye-kyung, et al.
Publicado: (2020)

Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks
por: Teramoto, Atsushi, et al.
Publicado: (2017)

Classification and Morphological Analysis of Vector Mosquitoes using Deep Convolutional Neural Networks
por: Park, Junyoung, et al.
Publicado: (2020)

Gas Classification Using Deep Convolutional Neural Networks
por: Peng, Pai, et al.
Publicado: (2018)

Automated Training of Deep Convolutional Neural Networks for Cell Segmentation
por: Sadanandan, Sajith Kecheril, et al.
Publicado: (2017)

Automated interpretation of the coronary angioscopy with deep convolutional neural networks
por: Miyoshi, Toru, et al.
Publicado: (2020)

Author Correction: Automated rotator cuff tear classification using 3D convolutional neural network
por: Shim, Eungjune, et al.
Publicado: (2021)

Automated classification of bacterial cell sub-populations with convolutional neural networks
por: Tamiev, Denis, et al.
Publicado: (2020)

Convolution- and Attention-Based Neural Network for Automated Sleep Stage Classification
por: Zhu, Tianqi, et al.
Publicado: (2020)

Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification
por: Fki, Zeineb, et al.
Publicado: (2023)

An Automated Glowworm Swarm Optimization with an Inception-Based Deep Convolutional Neural Network for COVID-19 Diagnosis and Classification
por: Abunadi, Ibrahim, et al.
Publicado: (2022)

Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network
por: Wilder-Smith, Adrian Jonathan, et al.
Publicado: (2022)

Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks
por: Sexauer, Raphael, et al.
Publicado: (2023)

Bio-Inspired Spotted Hyena Optimizer with Deep Convolutional Neural Network-Based Automated Food Image Classification
por: Mahgoub, Hany, et al.
Publicado: (2023)

Automated laryngeal mass detection algorithm for home-based self-screening test based on convolutional neural network
por: Kim, Gun Ho, et al.
Publicado: (2021)

Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing
por: Jeon, Hyeon-Ju, et al.
Publicado: (2022)

Classification of crystallization outcomes using deep convolutional neural networks
por: Bruno, Andrew E., et al.
Publicado: (2018)

Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks
por: Hasan, Md Imran, et al.
Publicado: (2022)

Automated detection of IVC filters on radiographs with deep convolutional neural networks
por: Mongan, John, et al.
Publicado: (2022)

Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy
por: Kim, Sang Hoon, et al.
Publicado: (2021)

Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers
por: Saleem, Muhammad Hammad, et al.
Publicado: (2020)

Automated Sagittal Skeletal Classification of Children Based on Deep Learning
por: Nan, Lan, et al.
Publicado: (2023)

Automated endoscopic detection and classification of colorectal polyps using convolutional neural networks
por: Ozawa, Tsuyoshi, et al.
Publicado: (2020)

Convolutional neural network for automated classification of osteonecrosis and related mandibular trabecular patterns
por: Baseri Saadi, Soroush, et al.
Publicado: (2022)

Malignant thoracic lymph node classification with deep convolutional neural networks on real-time endobronchial ultrasound (EBUS) images
por: Yong, Seung Hyun, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_8hscb0c3kahaop2lkksvuf8nfj