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Generating radiology reports is time-consuming and requires extensive expertise in practice.
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Demner-Fushman, D., Kohli, M.D., Rosenman, M.B., Shooshan, S.E., Rodriguez, L., Antani, S.K., Thoma, G.R., McDonald, C.J.: Preparing a collection of radiology examinations for distribution and retrieval. JAMIA 23
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He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. pp. 770–778 (2016)
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Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., Summers, R.M.: Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2097–2106 (2017)
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2018
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Feng, Y., Ma, L., Liu, W., Luo, J.: Unsupervised image captioning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4125–4134 (2019)
2019
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2019
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2019
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2017
Cited alongside, same era.
Jing, B., Xie, P., Xing, E.P.: On the automatic generation of medical imaging reports. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia. pp. 2577–2586 (2018)
2018
Cited alongside, same era.