- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1618-727X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs ; volume:32 ; number:4 ; day:7 ; month:5 ; year:2019 ; pages:656-664 ; date:8.2019
Journal of digital imaging ; 32, Heft 4 (7.5.2019), 656-664, 8.2019
- Creator
-
Filice, Ross W.
Frantz, Shelby K.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10278-019-00226-y
- URN
-
urn:nbn:de:101:1-2019122819381600116411
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:55 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Filice, Ross W.
- Frantz, Shelby K.
- SpringerLink (Online service)
Other Objects (12)
Unsupervised Deep Anomaly Detection in Chest Radiographs
Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs
Detection of mandibular fractures on panoramic radiographs using deep learning
High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks
Deep learning to estimate lung disease mortality from chest radiographs
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning
Pediatric age estimation from radiographs of the knee using deep learning
A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method
Fully automated deep learning approach to dental development assessment in panoramic radiographs
A systematic approach to deep learning-based nodule detection in chest radiographs
Unsupervised Deep Anomaly Detection in Chest Radiographs
Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs
Detection of mandibular fractures on panoramic radiographs using deep learning
High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks
Deep learning to estimate lung disease mortality from chest radiographs
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning
Pediatric age estimation from radiographs of the knee using deep learning
A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method
Fully automated deep learning approach to dental development assessment in panoramic radiographs
A systematic approach to deep learning-based nodule detection in chest radiographs
Unsupervised Deep Anomaly Detection in Chest Radiographs
Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs
Detection of mandibular fractures on panoramic radiographs using deep learning
High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks
Deep learning to estimate lung disease mortality from chest radiographs
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning
Pediatric age estimation from radiographs of the knee using deep learning
A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method
Fully automated deep learning approach to dental development assessment in panoramic radiographs