XRaySwinGen: Automatic medical reporting for X-ray exams with multimodal model-Reference-Cited by-同舟云学术

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XRaySwinGen: Automatic medical reporting for X-ray exams with multimodal model

Published:2024-04 Issue:7 Volume:10 Page:e27516
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Veras Magalhães Gilvan^ORCID,L. de S. Santos Roney,H. S. Vogado Luis,Cardoso de Paiva Anselmo,de Alcântara dos Santos Neto Pedro^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. Deep learning in multi-class lung diseases' classification on chest X-ray images;Kim;Diagnostics,2022

2. A deep learning approach for the classification of TB from NIH CXR dataset;Zaidi;IET Image Process.,2022

3. Deep multi-instance transfer learning for pneumothorax classification in chest X-ray images;Tian;Med. Phys.,2022

4. CXray-EffDet: chest disease detection and classification from X-ray images using the efficientdet model;Nawaz;Diagnostics,2023

5. Reinforced transformer for medical image captioning;Xiong,2019

Cited by 1 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

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