Chest radiology report generation based on cross-modal multi-scale feature fusion-Reference-Cited by-同舟云学术

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Chest radiology report generation based on cross-modal multi-scale feature fusion

Published:2024-03 Issue:1 Volume:17 Page:100823
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Pan Yu,Liu Li-Jun,Yang Xiao-Bing,Peng Wei,Huang Qing-Song

Publisher

Elsevier BV

Reference37 articles.

1. Automated radiology report generation using conditioned transformers;Alfarghaly;Informatics in Medicine Unlocked,2021

2. Cross-modal memory networks for radiology report generation;Chen,2021

3. Generating radiology reports via memory-driven transformer;Chen,2020

4. Learning phrase representations using RNN encoder-decoder for statistical machine translation;Cho,2014

5. Preparing a collection of radiology examinations for distribution and retrieval;Demner-Fushman;Journal of the American Medical Informatics Association,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multi-Modal Feature Fusion-Based Approach for Chest X-Ray Report Generation;2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM);2024-07-23

2. Improving Radiology Report Generation Quality and Diversity through Reinforcement Learning and Text Augmentation;Bioengineering;2024-04-03

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