FgKF: Fine-Grained Knowledge Fusion for Radiology Report Generation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9864-7_16
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3. Rosman, D.A., Bamporiki, J., Stein-Wexler, R., et al.: Developing diagnostic radiology training in low resource countries. Curr. Radiol. Rep. 7, 1–7 (2019)
4. Otter, D.W., Medina, J.R., Kalita, J.K.: A survey of the usages of deep learning for natural language processing. IEEE Trans. Neural Netw. Learn. Syst. 32(2), 604–624 (2021)
5. Demner-Fushman, D., Kohli, M.D., Rosenman, M.B., et al.: Preparing a collection of radiology examinations for distribution and retrieval. J. Am. Med. Inform. Assoc. 23(2), 304–310 (2016)
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