- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 8 Seiten
- Language
-
Englisch
- Bibliographic citation
-
In: Frontiers in Pediatrics(12) - ISSN 2296-2360
In: © 2024 Hadamek, Krueger, Mentzel and Waginger., Lausanne
- Event
-
Veröffentlichung
- (where)
-
Jena
- (who)
-
Friedrich-Schiller-Universität Jena
- (when)
-
2024
- Creator
-
Hadamek, Yvonne
Krueger, Paul-Christian
Mentzel, Hans-Joachim
Waginger, Matthias
- URN
-
urn:nbn:de:gbv:27-dbt-63639-3
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.01.2025, 2:37 PM CET
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
- Hadamek, Yvonne
- Krueger, Paul-Christian
- Mentzel, Hans-Joachim
- Waginger, Matthias
- Friedrich-Schiller-Universität Jena
Time of origin
- 2024
Other Objects (12)
Why intensivists want chest radiographs
Detecting drug-resistant tuberculosis in chest radiographs
Uncommon Iatrogenic Devices Seen on Chest Radiographs
Unsupervised Deep Anomaly Detection in Chest Radiographs
Role of Chest Radiographs during COVID-19 Pandemic
Recognition of Similarities and Abnormalities in Chest Radiographs
Hierarchic recognition of tumors in chest radiographs with computer
Checklists for interpreting chest radiographs: a scoping review protocol
Artificial intelligence-based detection of pneumonia in chest radiographs
Utility of postintubation chest radiographs in the intensive care unit
Deep learning to estimate lung disease mortality from chest radiographs
Fully automated lung segmentation from chest radiographs using SLICO superpixels
Why intensivists want chest radiographs
Detecting drug-resistant tuberculosis in chest radiographs
Uncommon Iatrogenic Devices Seen on Chest Radiographs
Unsupervised Deep Anomaly Detection in Chest Radiographs
Role of Chest Radiographs during COVID-19 Pandemic
Recognition of Similarities and Abnormalities in Chest Radiographs
Hierarchic recognition of tumors in chest radiographs with computer
Checklists for interpreting chest radiographs: a scoping review protocol
Artificial intelligence-based detection of pneumonia in chest radiographs
Utility of postintubation chest radiographs in the intensive care unit
Deep learning to estimate lung disease mortality from chest radiographs
Fully automated lung segmentation from chest radiographs using SLICO superpixels
Why intensivists want chest radiographs
Detecting drug-resistant tuberculosis in chest radiographs
Uncommon Iatrogenic Devices Seen on Chest Radiographs
Unsupervised Deep Anomaly Detection in Chest Radiographs
Role of Chest Radiographs during COVID-19 Pandemic
Recognition of Similarities and Abnormalities in Chest Radiographs
Hierarchic recognition of tumors in chest radiographs with computer
Checklists for interpreting chest radiographs: a scoping review protocol
Artificial intelligence-based detection of pneumonia in chest radiographs
Utility of postintubation chest radiographs in the intensive care unit
Deep learning to estimate lung disease mortality from chest radiographs