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Our paper focuses on automating the generation of medical reports from chest X-ray image inputs, a critical yet time-consuming task for radiologists.
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Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
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Baoyu Jing, Pengtao Xie, and Eric Xing. 2018 · 2018
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Changchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, and Qinghua Zheng. 2019 · 2019
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Automatic radiology report generation based on multi-view image fusion and medical concept enrichment
Jianbo Yuan, Haofu Liao, Rui Luo, and Jiebo Luo. 2019 · 2019
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Baselines for chest x-ray report generation
William Boag, Tzu-Ming Harry Hsu, Matthew Mcdermott, Gabriela Berner, Emily Alesentzer, and Peter Szolovits. 2020 · 2020
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Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever. 2020 · 2020
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Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, and Ronald M Summers. 2018 · 2018
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Multimodal recurrent model with attention for automated radiology report generation
Yuan Xue, Tao Xu, L Rodney Long, Zhiyun Xue, Sameer Antani, George R Thoma, and Xiaolei Huang. 2018 · 2018
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Unsupervised image captioning
Yang Feng, Lin Ma, Wei Liu, and Jiebo Luo. 2019 · 2019
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Attention on attention for image captioning
Lun Huang, Wenmin Wang, Jie Chen, and Xiao-Yong Wei. 2019 · 2019
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al. 2019 · 2019
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Show, describe and conclude: On exploiting the structure information of chest X-ray reports
Baoyu Jing, Zeya Wang, and Eric Xing. 2019 · 2019
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Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng. 2019 · 2019
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Image-to-images translation for multi-task organ segmentation and bone suppression in chest x-ray radiography
Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, and Malek Adjouadi. 2020 · 2020
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Learning to generate clinically coherent chest x-ray reports
Justin Lovelace and Bobak Mortazavi. 2020 · 2020
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Deep mining external imperfect data for chest x-ray disease screening
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, and Pheng-Ann Heng. 2020 · 2020
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Reinforcement learning with imbalanced dataset for data-to-text medical report generation
Toru Nishino, Ryota Ozaki, Yohei Momoki, Tomoki Taniguchi, Ryuji Kano, Norihisa Nakano, Yuki Tagawa, Motoki Taniguchi, Tomoko Ohkuma, and Keigo Nakamura. 2020 · 2020
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Deep learning covid-19 features on cxr using limited training data sets
Yujin Oh, Sangjoon Park, and Jong Chul Ye. 2020 · 2020
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Hierarchical x-ray report generation via pathology tags and multi head attention
Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, and Aditya Nigam. 2020 · 2020
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Transform and tell: Entity-aware news image captioning
A. Tran, A. Mathews, and L. Xie. 2020 · 2020
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When radiology report generation meets knowledge graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, and Daguang Xu. 2020 · 2020
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Deepopht: medical report generation for retinal images via deep models and visual explanation
Jia-Hong Huang, C-H Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, et al. 2021 · 2021
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Show, attend and tell: Neural image caption generation with visual attention
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