Record link: 
http://hdl.handle.net/20.500.12708/208877
-
Title: 
Cross-domain attention-guided generative data augmentation for medical image analysis with limited data
en
Citation: 
Xu, Z., Tang, J., Qi, C., Yao, D., Liu, C., Zhan, Y., & Lukasiewicz, T. (2024). Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Computers in Biology and Medicine, 168, Article 107744. https://doi.org/10.1016/J.COMPBIOMED.2023.107744
-
Publisher DOI: 
10.1016/J.COMPBIOMED.2023.107744
-
Publication Type: 
Article - Original Research Article
en
Language: 
English
-
Authors: 
Xu, Zhenghua 
Tang, Jiaqi 
Qi, Chang 
Yao, Dan 
Liu, Caihua 
Zhan, Yuefu 
Lukasiewicz, Thomas 
-
Organisational Unit: 
E192-07 - Forschungsbereich Artificial Intelligence Techniques 
-
Journal: 
Computers in Biology and Medicine 
-
ISSN: 
0010-4825
-
Date (published): 
Jan-2024
-
Publisher: 
PERGAMON-ELSEVIER SCIENCE LTD
-
Peer reviewed: 
Yes
-
Keywords: 
medical image segmentation; data augmentation; generative adversarial networks (GANs); cross-domain tumor image generation; semi-supervised spatial attention
en
Research Areas: 
Information Systems Engineering: 100%
-
Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
-
Appears in Collections:
Article

Show full item record

Page view(s)

61
checked on Jan 15, 2025

Google ScholarTM

Check