TSGET: Two-Stage Global Enhanced Transformer for Automatic Radiology Report Generation-Reference-Cited by-同舟云学术

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TSGET: Two-Stage Global Enhanced Transformer for Automatic Radiology Report Generation

Published:2024-04 Issue:4 Volume:28 Page:2152-2162
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Yi Xiulong¹^ORCID,Fu You¹^ORCID,Liu Ruiqing²^ORCID,Zhang Hao³^ORCID,Hua Rong¹^ORCID

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China

2. Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China

3. Department of Computer Science, University of Otago, Dunedin, New Zealand

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10491283/10381879.pdf?arnumber=10381879

Reference53 articles.

1. Hybrid retrieval-generation reinforced agent for medical image report generation;Li,2018

2. Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

3. When Radiology Report Generation Meets Knowledge Graph

4. On the Automatic Generation of Medical Imaging Reports

5. Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information

Cited by 3 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. CGFTrans: Cross-Modal Global Feature Fusion Transformer for Medical Report Generation;IEEE Journal of Biomedical and Health Informatics;2024-09

2. Interactive dual-stream contrastive learning for radiology report generation;Journal of Biomedical Informatics;2024-09

3. DKA-RG: Disease-Knowledge-Enhanced Fine-Grained Image–Text Alignment for Automatic Radiology Report Generation;Electronics;2024-08-20

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