- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Augsburg, Universität Augsburg, Dissertation, 2023
- Schlagwort
-
Bildgebendes Verfahren
Bildverarbeitung
Bildsegmentierung
Medizin
Bildanalyse
Datenanalyse
Künstliche Intelligenz
Deep Learning
Maschinelles Sehen
Standardisierung
Bildgebendes Verfahren
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
-
Kramer, Frank
- URN
-
urn:nbn:de:bvb:384-opus4-1042480
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 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
- Müller, Dominik
- Kramer, Frank
- Universität Augsburg
Entstanden
- 2023
Ähnliche Objekte (12)
Medical image fusion with deep neural networks
A deep convolutional neural network approach using medical image classification
Deep convolutional neural network based medical image classification for disease diagnosis
Universal adversarial attacks on deep neural networks for medical image classification
Deep learning for medical image processing
Deep Learning for Medical Image Analysis
An analysis on ensemble learning optimized medical image classification with deep convolutional neural networks
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
Deep Convolutional Neural Networks for Biomedical Image Analysis
Deep learning with multi-dimensional medical image data
Spatio-temporal deep learning for medical image sequences
Self-supervised deep learning methods for medical image analysis
Medical image fusion with deep neural networks
A deep convolutional neural network approach using medical image classification
Deep convolutional neural network based medical image classification for disease diagnosis
Universal adversarial attacks on deep neural networks for medical image classification
Deep learning for medical image processing
Deep Learning for Medical Image Analysis
An analysis on ensemble learning optimized medical image classification with deep convolutional neural networks
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
Deep Convolutional Neural Networks for Biomedical Image Analysis
Deep learning with multi-dimensional medical image data
Spatio-temporal deep learning for medical image sequences
Self-supervised deep learning methods for medical image analysis
Medical image fusion with deep neural networks
A deep convolutional neural network approach using medical image classification
Deep convolutional neural network based medical image classification for disease diagnosis
Universal adversarial attacks on deep neural networks for medical image classification
Deep learning for medical image processing
Deep Learning for Medical Image Analysis
An analysis on ensemble learning optimized medical image classification with deep convolutional neural networks
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
Deep Convolutional Neural Networks for Biomedical Image Analysis
Deep learning with multi-dimensional medical image data
Spatio-temporal deep learning for medical image sequences