CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
Author:
Affiliation:
1. Department of Computer Science, University of Warwick, Coventry, U.K.
2. NVIDIA AI Tech Center, Suntec Tower Three, Singapore
3. Department of Informatics, King's College London, London, U.K.
Funder
University of Warwick
China Scholarship Council
University of Warwick's Scientific Computing Group
UKRI/EPSRC HPC platform
Sulis
Avon
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6221020/10491283/10400776.pdf?arnumber=10400776
Reference51 articles.
1. Generating Radiology Reports via Memory-driven Transformer
2. Cross-modal Memory Networks for Radiology Report Generation
3. Cross-Modal Prototype Driven Network for Radiology Report Generation
4. Clinically accurate chest x-ray report generation;Liu,2019
5. When Radiology Report Generation Meets Knowledge Graph
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