- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1869-4101
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Deep learning workflow in radiology: a primer ; volume:11 ; number:1 ; day:10 ; month:2 ; year:2020 ; pages:1-15 ; date:12.2020
Insights into imaging ; 11, Heft 1 (10.2.2020), 1-15, 12.2020
- Urheber
-
Montagnon, Emmanuel
Cerny, Milena
Cadrin-Chênevert, Alexandre
Hamilton, Vincent
Derennes, Thomas
Ilinca, André
Vandenbroucke-Menu, Franck
Turcotte, Simon
Kadoury, Samuel
Tang, An
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13244-019-0832-5
- URN
-
urn:nbn:de:101:1-2020051013105985168596
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 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
- Montagnon, Emmanuel
- Cerny, Milena
- Cadrin-Chênevert, Alexandre
- Hamilton, Vincent
- Derennes, Thomas
- Ilinca, André
- Vandenbroucke-Menu, Franck
- Turcotte, Simon
- Kadoury, Samuel
- Tang, An
- SpringerLink (Online service)
Ähnliche Objekte (12)
Selecting the Best Radiology Workflow Efficiency Applications
Structuring radiology scans using multimodal representations and deep learning systems
Artificial intelligence with deep learning in nuclear medicine and radiology
Deep learning approach to security enforcement in cloud workflow orchestration
A robust deep learning workflow to predict CD8 + T-cell epitopes
Learning vascular and interventional radiology
A primer on deep learning and convolutional neural networks for clinicians
A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Vascular and Interventional Radiology Workflow Management During the COVID-19 Pandemic: Position Statement by the Saudi Interventional Radiology Society
Data-intensive workflow scheduling strategy based on deep reinforcement learning in multi-clouds
DEEP LEARNING AND ANTHROPOMETRIC PLANE BASED WORKFLOW MONITORING BY DETECTING AND TRACKING WORKERS
Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends
Selecting the Best Radiology Workflow Efficiency Applications
Structuring radiology scans using multimodal representations and deep learning systems
Artificial intelligence with deep learning in nuclear medicine and radiology
Deep learning approach to security enforcement in cloud workflow orchestration
A robust deep learning workflow to predict CD8 + T-cell epitopes
Learning vascular and interventional radiology
A primer on deep learning and convolutional neural networks for clinicians
A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Vascular and Interventional Radiology Workflow Management During the COVID-19 Pandemic: Position Statement by the Saudi Interventional Radiology Society
Data-intensive workflow scheduling strategy based on deep reinforcement learning in multi-clouds
DEEP LEARNING AND ANTHROPOMETRIC PLANE BASED WORKFLOW MONITORING BY DETECTING AND TRACKING WORKERS
Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends
Selecting the Best Radiology Workflow Efficiency Applications
Structuring radiology scans using multimodal representations and deep learning systems
Artificial intelligence with deep learning in nuclear medicine and radiology
Deep learning approach to security enforcement in cloud workflow orchestration
A robust deep learning workflow to predict CD8 + T-cell epitopes
Learning vascular and interventional radiology
A primer on deep learning and convolutional neural networks for clinicians
A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Vascular and Interventional Radiology Workflow Management During the COVID-19 Pandemic: Position Statement by the Saudi Interventional Radiology Society
Data-intensive workflow scheduling strategy based on deep reinforcement learning in multi-clouds
DEEP LEARNING AND ANTHROPOMETRIC PLANE BASED WORKFLOW MONITORING BY DETECTING AND TRACKING WORKERS