Research on Application of Artificial Intelligence Technology in Document Management System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4882-6_98
Reference5 articles.
1. Lorence, D.P., Churchill, R.: Incremental adoption of information security in health-care organizations: implications for document management. IEEE Trans. Inform. Technol. Biomed. 9, 169–173 (2005)
2. Matalov, D.P., Limonova, E.E., Skoryukina, N.S.: Memory efficient local features descriptor for identity document detection on mobile and embedded devices. IEEE Access 11, 1104–1114 (2023)
3. Hasmi, K.A., Liwicki, M., Stricker, D., et al.: Current status and performance analysis of table recognition in document images with deep neural networks. IEEE Access 9, 87663–87685 (2021)
4. Karthikeyan, S., Herrera, A.G.S., Doctor, F., et al.: An OCR post-correction approach using deep learning for processing medical reports. IEEE Trans. Circuits Syst. Video 32, 2574–2581 (2022)
5. Eberle, O., Buttner, J., Krautli, F., et al.: Building and interpreting deep similarity models. IEEE Trans. Pattern Anal. Mach. Intell. 44, 1149–1161 (2022)
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