Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning-Reference-Cited by-同舟云学术

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Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning

Published:2023-12-05 Issue: Volume:1 Page:2320-2325
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Xu Dexuan¹,Chen Yanyuan¹,Zhang Jiayu¹,Lou Yiwei²,Wang Hanpin³,He Jing⁴,Huang Yu⁵

Affiliation:

1. Peking University,National Engineering Research Center for S.E. School of Software & Micro.,China

2. Peking University,School of Computer Science,China

3. Peking University,Key Laboratory of High Confidece Software Technologies (MOE) School of Computer Science,China

4. Peking University People’s Hospital,Department of Rheumatology and Immunology,China

5. Peking University,National Engineering Research Center for Software Engineering,China

Funder

Beijing Nova Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10386013.pdf?arnumber=10386013

Reference23 articles.

1. Show and tell: A neural image caption generator

2. MTS-LSTDM: Multi-Time-Scale Long Short-Term Double Memory for power load forecasting

3. Generating Radiology Reports via Memory-driven Transformer

4. Cross-modal Memory Networks for Radiology Report Generation

5. Progressive Transformer-Based Generation of Radiology Reports

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